Agentic AI Engineer

RemoteVancouverfull time

Activeverified Jun 11, 2026

Job description

Location:<\/span> Greater Vancouver Area (In-Office Only) candidates only<\/span><\/p>\n

<\/p>\n

About D3 Security<\/span><\/p>\n

D3 Security is transforming SecOps with Morpheus, our AI-driven Autonomous Security Operations Center (ASOC) platform. Morpheus automates Tier 1–3 analyst work with unmatched precision, processing millions of alerts in real time and empowering security teams to respond faster and smarter. Our mission: to deliver scalable, intelligent, and integrated security operations solutions for the world’s most forward-thinking organizations.<\/span><\/p>\n

<\/p>\n

The office is located in beautiful downtown Vancouver next to Burrard Skytrain Station, offering a friendly environment with an energetic, fast-growing and forward-thinking team.<\/span><\/p>\n

<\/p>\n

Role Summary<\/span><\/p>\n

D3 Security is looking for a hands-on Agentic AI Engineer<\/span> — a software engineer who designs, builds, and manages AI agents capable of autonomous decision-making, planning, and tool use to execute complex workflows. This role sits at the intersection of agentic AI engineering, full-stack development, and AI-assisted coding workflows<\/span>.<\/span><\/p>\n

You will work on practical product problems, build reliable software, and apply LLMs and agentic patterns to real customer and internal engineering use cases. This role is ideal for someone who is strong in implementation, comfortable working across the stack, and excited to build production-grade AI agents in an enterprise environment.<\/span><\/p>\n

Please note:<\/span> this is a software engineering role, not a research or model-training position — you will build production agents on top of foundation models rather than train models. You do not need an AI/ML research background: if you are a strong software engineer who has built features with LLM APIs or used AI coding tools seriously, you are exactly who we are looking for.<\/span><\/p>\n

<\/p>\n

What You’ll Be Doing<\/span><\/p>\n

Design, build, and manage <\/span>AI agents capable of autonomous decision-making, planning, and tool use<\/span> to execute complex customer and internal workflows.<\/span><\/li>\n
Implement agent orchestration, multi-step planning, and tool/function calling that connect LLMs to backend services, APIs, and data systems.<\/span><\/li>\n
Build guardrails, validation, and human-in-the-loop controls that keep agent behavior reliable, safe, and auditable.<\/span>
<\/span>Work across services and product surfaces to integrate agentic capabilities into production systems in a reliable and maintainable way.<\/span><\/li>\n
Collaborate with engineering, product, and design teammates to define agent behaviors, evaluate solutions, and ship user-facing improvements.<\/span><\/li>\n
Improve the quality of agentic systems through evaluation, testing, experimentation, and iteration — including measuring task success, latency, and cost.<\/span><\/li>\n
Support production readiness through sound engineering practices including observability, debugging, CI/CD, and operational reliability.<\/span><\/li>\n
Contribute to internal patterns and reusable components — prompts, tools, and agent scaffolding — for building agentic features effectively across the product.<\/span>
<\/li>\n<\/ul>\n

<\/p>\n

<\/p>\n
What You’ll Bring<\/span><\/p>\n
- 2+ years of software engineering industry experience building and shipping production applications.<\/span><\/li>\n
- Strong coding skills in <\/span>Python and/or C#<\/span>, with solid backend engineering fundamentals.<\/span><\/li>\n
- Experience with modern web development using <\/span>JavaScript/TypeScript<\/span>, and ideally <\/span>React<\/span> or similar frameworks.<\/span><\/li>\n
- Experience building or integrating API-driven systems and working across application layers.<\/span><\/li>\n
- Hands-on experience building <\/span>LLM-powered or agentic applications<\/span>, such as tool/function calling, structured outputs, RAG, or multi-step agent workflows.<\/span><\/li>\n
- Ability to turn ambiguous product or engineering requirements into structured implementation plans.<\/span><\/li>\n
- Good judgment around when agents should act autonomously, and when deterministic software logic, validation, or human approval should drive behavior.<\/span><\/li>\n
- Understanding of core agent design patterns: planning, memory and state management, tool use, and error handling and recovery.<\/span><\/li>\n
- Attention to quality, a builder mindset, and comfort with code reviews, testing, and continuous improvement<\/span><\/li>\n
- Clear written and verbal communication.<\/span><\/li>\n<\/ul>\n
  
  <\/p>\n
  Nice to Have<\/span><\/p>\n
  - Has used AI coding tools to meaningfully change how they build software, not just experimented with them.<\/span><\/li>\n
  - Familiarity with <\/span>Docker, Kubernetes, or Azure<\/span><\/li>\n
  - Experience shipping AI-powered product features in enterprise software<\/span><\/li>\n
  - Interest in cybersecurity, automation, or workflow-heavy systems<\/span><\/li>\n
  - Exposure to evaluation, prompt iteration, or reliability practices for LLM applications<\/span><\/li>\n<\/ul>\n
    
    <\/p>\n
    Compensation & Benefits<\/span><\/p>\n
    - We offer competitive compensation along with performance-based bonuses and equity opportunities for exceptional performers.<\/span><\/li>\n
    - Extended health and dental benefits<\/span><\/li>\n
    - On-site gym access<\/span><\/li>\n
    - Commuter expense reimbursement<\/span><\/li>\n
    - Team events and social activities<\/span><\/li>\n
    - Free foods and snacks in-office<\/span><\/li>\n
    - Most importantly:<\/span><\/li>\n<\/ul>\n
      👉 <\/span>Real ownership, real impact, and real growth opportunities<\/span><\/p>\n
      
      <\/p>\n
      Job Type: Full-time, Permanent<\/span><\/p>\n
      
      <\/p>\n
      Schedule: Monday to Friday<\/span><\/p>\n
      
      <\/p>\n
      #HP #AIProductSoftwareEngineer #AIEngineer #AIDeveloper #AgenticEngineer #Python #React #TypeScript #Cybersecurity #SecOps #VancouverJobs #VancouverTech #BCTech #TechJobs #BuildWithAI #FullStackDeveloper #EngineeringJobs #AIJobs2026<\/span><\/p>","identifier":{"@type":"PropertyValue","name":"D3 Security Management Systems","value":"40"},"datePosted":"2026-06-10","employmentType":"OTHER","hiringOrganization":{"@type":"Organization","name":"D3 Security Management Systems","logo":"https://images3.bamboohr.com/99618/logos/cropped.jpg?v=36"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vancouver","addressRegion":"British Columbia","postalCode":"V6C1G8","addressCountry":"Canada"}},"url":"https://d3security.bamboohr.com/careers/40"}Job OpeningsAgentic AI EngineerR&D Development - Vancouver, British ColumbiaLocation: Greater Vancouver Area (In-Office Only) candidates only About D3 Security D3 Security is transforming SecOps with Morpheus, our AI-driven Autonomous Security Operations Center (ASOC) platform. Morpheus automates Tier 1–3 analyst work with unmatched precision, processing millions of alerts in real time and empowering security teams to respond faster and smarter. Our mission: to deliver scalable, intelligent, and integrated security operations solutions for the world’s most forward-thinking organizations. The office is located in beautiful downtown Vancouver next to Burrard Skytrain Station, offering a friendly environment with an energetic, fast-growing and forward-thinking team. Role Summary D3 Security is looking for a hands-on Agentic AI Engineer — a software engineer who designs, builds, and manages AI agents capable of autonomous decision-making, planning, and tool use to execute complex workflows. This role sits at the intersection of agentic AI engineering, full-stack development, and AI-assisted coding workflows. You will work on practical product problems, build reliable software, and apply LLMs and agentic patterns to real customer and internal engineering use cases. This role is ideal for someone who is strong in implementation, comfortable working across the stack, and excited to build production-grade AI agents in an enterprise environment. Please note: this is a software engineering role, not a research or model-training position — you will build production agents on top of foundation models rather than train models. You do not need an AI/ML research background: if you are a strong software engineer who has built features with LLM APIs or used AI coding tools seriously, you are exactly who we are looking for. What You’ll Be Doing Design, build, and manage AI agents capable of autonomous decision-making, planning, and tool use to execute complex customer and internal workflows. Implement agent orchestration, multi-step planning, and tool/function calling that connect LLMs to backend services, APIs, and data systems. Build guardrails, validation, and human-in-the-loop controls that keep agent behavior reliable, safe, and auditable.Work across services and product surfaces to integrate agentic capabilities into production systems in a reliable and maintainable way. Collaborate with engineering, product, and design teammates to define agent behaviors, evaluate solutions, and ship user-facing improvements. Improve the quality of agentic systems through evaluation, testing, experimentation, and iteration — including measuring task success, latency, and cost. Support production readiness through sound engineering practices including observability, debugging, CI/CD, and operational reliability. Contribute to internal patterns and reusable components — prompts, tools, and agent scaffolding — for building agentic features effectively across the product. What You’ll Bring 2+ years of software engineering industry experience building and shipping production applications. Strong coding skills in Python and/or C#, with solid backend engineering fundamentals. Experience with modern web development using JavaScript/TypeScript, and ideally React or similar frameworks. Experience building or integrating API-driven systems and working across application layers. Hands-on experience building LLM-powered or agentic applications, such as tool/function calling, structured outputs, RAG, or multi-step agent workflows. Ability to turn ambiguous product or engineering requirements into structured implementation plans. Good judgment around when agents should act autonomously, and when deterministic software logic, validation, or human approval should drive behavior. Understanding of core agent design patterns: planning, memory and state management, tool use, and error handling and recovery. Attention to quality, a builder mindset, and comfort with code reviews, testing, and continuous improvement Clear written and verbal communication. Nice to Have Has used AI coding tools to meaningfully change how they build software, not just experimented with them. Familiarity with Docker, Kubernetes, or Azure Experience shipping AI-powered product features in enterprise software Interest in cybersecurity, automation, or workflow-heavy systems Exposure to evaluation, prompt iteration, or reliability practices for LLM applications Compensation & Benefits We offer competitive compensation along with performance-based bonuses and equity opportunities for exceptional performers. Extended health and dental benefits On-site gym access Commuter expense reimbursement Team events and social activities Free foods and snacks in-office Most importantly: 👉 Real ownership, real impact, and real growth opportunities Job Type: Full-time, Permanent Schedule: Monday to Friday #HP #AIProductSoftwareEngineer #AIEngineer #AIDeveloper #AgenticEngineer #Python #React #TypeScript #Cybersecurity #SecOps #VancouverJobs #VancouverTech #BCTech #TechJobs #BuildWithAI #FullStackDeveloper #EngineeringJobs #AIJobs2026Apply for This JobLink to This JobLocationVancouver, British ColumbiaDepartmentR&D DevelopmentEmployment TypeFull-TimeMinimum ExperienceMid-levelPrivacy Policy • Terms of Service • © BambooHR All rights reserved.
      Privacy Policy{"@context":"http://schema.org","@type":"JobPosting","title":"Agentic AI Engineer","description":"
      Location:<\/span> Greater Vancouver Area (In-Office Only) candidates only<\/span><\/p>\n
      
      <\/p>\n
      About D3 Security<\/span><\/p>\n
      D3 Security is transforming SecOps with Morpheus, our AI-driven Autonomous Security Operations Center (ASOC) platform. Morpheus automates Tier 1–3 analyst work with unmatched precision, processing millions of alerts in real time and empowering security teams to respond faster and smarter. Our mission: to deliver scalable, intelligent, and integrated security operations solutions for the world’s most forward-thinking organizations.<\/span><\/p>\n
      
      <\/p>\n
      The office is located in beautiful downtown Vancouver next to Burrard Skytrain Station, offering a friendly environment with an energetic, fast-growing and forward-thinking team.<\/span><\/p>\n
      
      <\/p>\n
      Role Summary<\/span><\/p>\n
      D3 Security is looking for a hands-on Agentic AI Engineer<\/span> — a software engineer who designs, builds, and manages AI agents capable of autonomous decision-making, planning, and tool use to execute complex workflows. This role sits at the intersection of agentic AI engineering, full-stack development, and AI-assisted coding workflows<\/span>.<\/span><\/p>\n
      
      You will work on practical product problems, build reliable software, and apply LLMs and agentic patterns to real customer and internal engineering use cases. This role is ideal for someone who is strong in implementation, comfortable working across the stack, and excited to build production-grade AI agents in an enterprise environment.<\/span><\/p>\n
      
      Please note:<\/span> this is a software engineering role, not a research or model-training position — you will build production agents on top of foundation models rather than train models. You do not need an AI/ML research background: if you are a strong software engineer who has built features with LLM APIs or used AI coding tools seriously, you are exactly who we are looking for.<\/span><\/p>\n
      
      <\/p>\n
      What You’ll Be Doing<\/span><\/p>\n
      - Design, build, and manage <\/span>AI agents capable of autonomous decision-making, planning, and tool use<\/span> to execute complex customer and internal workflows.<\/span><\/li>\n
      - Implement agent orchestration, multi-step planning, and tool/function calling that connect LLMs to backend services, APIs, and data systems.<\/span><\/li>\n
      - Build guardrails, validation, and human-in-the-loop controls that keep agent behavior reliable, safe, and auditable.<\/span>
        <\/span>Work across services and product surfaces to integrate agentic capabilities into production systems in a reliable and maintainable way.<\/span><\/li>\n
      - Collaborate with engineering, product, and design teammates to define agent behaviors, evaluate solutions, and ship user-facing improvements.<\/span><\/li>\n
      - Improve the quality of agentic systems through evaluation, testing, experimentation, and iteration — including measuring task success, latency, and cost.<\/span><\/li>\n
      - Support production readiness through sound engineering practices including observability, debugging, CI/CD, and operational reliability.<\/span><\/li>\n
      - Contribute to internal patterns and reusable components — prompts, tools, and agent scaffolding — for building agentic features effectively across the product.<\/span>
        <\/li>\n<\/ul>\n
        
        <\/p>\n
        
        <\/p>\n
        What You’ll Bring<\/span><\/p>\n
        \n
        2+ years of software engineering industry experience building and shipping production applications.<\/span><\/li>\n
        Strong coding skills in <\/span>Python and/or C#<\/span>, with solid backend engineering fundamentals.<\/span><\/li>\n
        Experience with modern web development using <\/span>JavaScript/TypeScript<\/span>, and ideally <\/span>React<\/span> or similar frameworks.<\/span><\/li>\n
        Experience building or integrating API-driven systems and working across application layers.<\/span><\/li>\n
        Hands-on experience building <\/span>LLM-powered or agentic applications<\/span>, such as tool/function calling, structured outputs, RAG, or multi-step agent workflows.<\/span><\/li>\n
        Ability to turn ambiguous product or engineering requirements into structured implementation plans.<\/span><\/li>\n
        Good judgment around when agents should act autonomously, and when deterministic software logic, validation, or human approval should drive behavior.<\/span><\/li>\n
        Understanding of core agent design patterns: planning, memory and state management, tool use, and error handling and recovery.<\/span><\/li>\n
        Attention to quality, a builder mindset, and comfort with code reviews, testing, and continuous improvement<\/span><\/li>\n
        Clear written and verbal communication.<\/span><\/li>\n<\/ul>\n
        
        <\/p>\n
        Nice to Have<\/span><\/p>\n
        \n
        Has used AI coding tools to meaningfully change how they build software, not just experimented with them.<\/span><\/li>\n
        Familiarity with <\/span>Docker, Kubernetes, or Azure<\/span><\/li>\n
        Experience shipping AI-powered product features in enterprise software<\/span><\/li>\n
        Interest in cybersecurity, automation, or workflow-heavy systems<\/span><\/li>\n
        Exposure to evaluation, prompt iteration, or reliability practices for LLM applications<\/span><\/li>\n<\/ul>\n
        
        <\/p>\n
        Compensation & Benefits<\/span><\/p>\n
        \n
        We offer competitive compensation along with performance-based bonuses and equity opportunities for exceptional performers.<\/span><\/li>\n
        Extended health and dental benefits<\/span><\/li>\n
        On-site gym access<\/span><\/li>\n
        Commuter expense reimbursement<\/span><\/li>\n
        Team events and social activities<\/span><\/li>\n
        Free foods and snacks in-office<\/span><\/li>\n
        Most importantly:<\/span><\/li>\n<\/ul>\n
        👉 <\/span>Real ownership, real impact, and real growth opportunities<\/span><\/p>\n
        
        <\/p>\n
        Job Type: Full-time, Permanent<\/span><\/p>\n
        
        <\/p>\n
        Schedule: Monday to Friday<\/span><\/p>\n
        
        <\/p>\n
        #HP #AIProductSoftwareEngineer #AIEngineer #AIDeveloper #AgenticEngineer #Python #React #TypeScript #Cybersecurity #SecOps #VancouverJobs #VancouverTech #BCTech #TechJobs #BuildWithAI #FullStackDeveloper #EngineeringJobs #AIJobs2026<\/span><\/p>","identifier":{"@type":"PropertyValue","name":"D3 Security Management Systems","value":"40"},"datePosted":"2026-06-10","employmentType":"OTHER","hiringOrganization":{"@type":"Organization","name":"D3 Security Management Systems","logo":"https://images3.bamboohr.com/99618/logos/cropped.jpg?v=36"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vancouver","addressRegion":"British Columbia","postalCode":"V6C1G8","addressCountry":"Canada"}},"url":"https://d3security.bamboohr.com/careers/40"}Job OpeningsAgentic AI EngineerR&D Development - Vancouver, British ColumbiaLocation: Greater Vancouver Area (In-Office Only) candidates only About D3 Security D3 Security is transforming SecOps with Morpheus, our AI-driven Autonomous Security Operations Center (ASOC) platform. Morpheus automates Tier 1–3 analyst work with unmatched precision, processing millions of alerts in real time and empowering security teams to respond faster and smarter. Our mission: to deliver scalable, intelligent, and integrated security operations solutions for the world’s most forward-thinking organizations. The office is located in beautiful downtown Vancouver next to Burrard Skytrain Station, offering a friendly environment with an energetic, fast-growing and forward-thinking team. Role Summary D3 Security is looking for a hands-on Agentic AI Engineer — a software engineer who designs, builds, and manages AI agents capable of autonomous decision-making, planning, and tool use to execute complex workflows. This role sits at the intersection of agentic AI engineering, full-stack development, and AI-assisted coding workflows. You will work on practical product problems, build reliable software, and apply LLMs and agentic patterns to real customer and internal engineering use cases. This role is ideal for someone who is strong in implementation, comfortable working across the stack, and excited to build production-grade AI agents in an enterprise environment. Please note: this is a software engineering role, not a research or model-training position — you will build production agents on top of foundation models rather than train models. You do not need an AI/ML research background: if you are a strong software engineer who has built features with LLM APIs or used AI coding tools seriously, you are exactly who we are looking for. What You’ll Be Doing Design, build, and manage AI agents capable of autonomous decision-making, planning, and tool use to execute complex customer and internal workflows. Implement agent orchestration, multi-step planning, and tool/function calling that connect LLMs to backend services, APIs, and data systems. Build guardrails, validation, and human-in-the-loop controls that keep agent behavior reliable, safe, and auditable.Work across services and product surfaces to integrate agentic capabilities into production systems in a reliable and maintainable way. Collaborate with engineering, product, and design teammates to define agent behaviors, evaluate solutions, and ship user-facing improvements. Improve the quality of agentic systems through evaluation, testing, experimentation, and iteration — including measuring task success, latency, and cost. Support production readiness through sound engineering practices including observability, debugging, CI/CD, and operational reliability. Contribute to internal patterns and reusable components — prompts, tools, and agent scaffolding — for building agentic features effectively across the product. What You’ll Bring 2+ years of software engineering industry experience building and shipping production applications. Strong coding skills in Python and/or C#, with solid backend engineering fundamentals. Experience with modern web development using JavaScript/TypeScript, and ideally React or similar frameworks. Experience building or integrating API-driven systems and working across application layers. Hands-on experience building LLM-powered or agentic applications, such as tool/function calling, structured outputs, RAG, or multi-step agent workflows. Ability to turn ambiguous product or engineering requirements into structured implementation plans. Good judgment around when agents should act autonomously, and when deterministic software logic, validation, or human approval should drive behavior. Understanding of core agent design patterns: planning, memory and state management, tool use, and error handling and recovery. Attention to quality, a builder mindset, and comfort with code reviews, testing, and continuous improvement Clear written and verbal communication. Nice to Have Has used AI coding tools to meaningfully change how they build software, not just experimented with them. Familiarity with Docker, Kubernetes, or Azure Experience shipping AI-powered product features in enterprise software Interest in cybersecurity, automation, or workflow-heavy systems Exposure to evaluation, prompt iteration, or reliability practices for LLM applications Compensation & Benefits We offer competitive compensation along with performance-based bonuses and equity opportunities for exceptional performers. Extended health and dental benefits On-site gym access Commuter expense reimbursement Team events and social activities Free foods and snacks in-office Most importantly: 👉 Real ownership, real impact, and real growth opportunities Job Type: Full-time, Permanent Schedule: Monday to Friday #HP #AIProductSoftwareEngineer #AIEngineer #AIDeveloper #AgenticEngineer #Python #React #TypeScript #Cybersecurity #SecOps #VancouverJobs #VancouverTech #BCTech #TechJobs #BuildWithAI #FullStackDeveloper #EngineeringJobs #AIJobs2026Apply for This JobLink to This JobLocationVancouver, British ColumbiaDepartmentR&D DevelopmentEmployment TypeFull-TimeMinimum ExperienceMid-levelPrivacy Policy • Terms of Service • © BambooHR All rights reserved.
        Privacy Policy{"@context":"http://schema.org","@type":"JobPosting","title":"Agentic AI Engineer","description":"
        Location:<\/span> Greater Vancouver Area (In-Office Only) candidates only<\/span><\/p>\n
        
        <\/p>\n
        About D3 Security<\/span><\/p>\n
        D3 Security is transforming SecOps with Morpheus, our AI-driven Autonomous Security Operations Center (ASOC) platform. Morpheus automates Tier 1–3 analyst work with unmatched precision, processing millions of alerts in real time and empowering security teams to respond faster and smarter. Our mission: to deliver scalable, intelligent, and integrated security operations solutions for the world’s most forward-thinking organizations.<\/span><\/p>\n
        
        <\/p>\n
        The office is located in beautiful downtown Vancouver next to Burrard Skytrain Station, offering a friendly environment with an energetic, fast-growing and forward-thinking team.<\/span><\/p>\n
        
        <\/p>\n
        Role Summary<\/span><\/p>\n
        D3 Security is looking for a hands-on Agentic AI Engineer<\/span> — a software engineer who designs, builds, and manages AI agents capable of autonomous decision-making, planning, and tool use to execute complex workflows. This role sits at the intersection of agentic AI engineering, full-stack development, and AI-assisted coding workflows<\/span>.<\/span><\/p>\n
        
        You will work on practical product problems, build reliable software, and apply LLMs and agentic patterns to real customer and internal engineering use cases. This role is ideal for someone who is strong in implementation, comfortable working across the stack, and excited to build production-grade AI agents in an enterprise environment.<\/span><\/p>\n
        
        Please note:<\/span> this is a software engineering role, not a research or model-training position — you will build production agents on top of foundation models rather than train models. You do not need an AI/ML research background: if you are a strong software engineer who has built features with LLM APIs or used AI coding tools seriously, you are exactly who we are looking for.<\/span><\/p>\n
        
        <\/p>\n
        What You’ll Be Doing<\/span><\/p>\n
        \n
        Design, build, and manage <\/span>AI agents capable of autonomous decision-making, planning, and tool use<\/span> to execute complex customer and internal workflows.<\/span><\/li>\n
        Implement agent orchestration, multi-step planning, and tool/function calling that connect LLMs to backend services, APIs, and data systems.<\/span><\/li>\n
        Build guardrails, validation, and human-in-the-loop controls that keep agent behavior reliable, safe, and auditable.<\/span>
        <\/span>Work across services and product surfaces to integrate agentic capabilities into production systems in a reliable and maintainable way.<\/span><\/li>\n
        Collaborate with engineering, product, and design teammates to define agent behaviors, evaluate solutions, and ship user-facing improvements.<\/span><\/li>\n
        Improve the quality of agentic systems through evaluation, testing, experimentation, and iteration — including measuring task success, latency, and cost.<\/span><\/li>\n
        Support production readiness through sound engineering practices including observability, debugging, CI/CD, and operational reliability.<\/span><\/li>\n
        Contribute to internal patterns and reusable components — prompts, tools, and agent scaffolding — for building agentic features effectively across the product.<\/span>
        <\/li>\n<\/ul>\n
        
        <\/p>\n
        
        <\/p>\n
        What You’ll Bring<\/span><\/p>\n
        \n
        2+ years of software engineering industry experience building and shipping production applications.<\/span><\/li>\n
        Strong coding skills in <\/span>Python and/or C#<\/span>, with solid backend engineering fundamentals.<\/span><\/li>\n
        Experience with modern web development using <\/span>JavaScript/TypeScript<\/span>, and ideally <\/span>React<\/span> or similar frameworks.<\/span><\/li>\n
        Experience building or integrating API-driven systems and working across application layers.<\/span><\/li>\n
        Hands-on experience building <\/span>LLM-powered or agentic applications<\/span>, such as tool/function calling, structured outputs, RAG, or multi-step agent workflows.<\/span><\/li>\n
        Ability to turn ambiguous product or engineering requirements into structured implementation plans.<\/span><\/li>\n
        Good judgment around when agents should act autonomously, and when deterministic software logic, validation, or human approval should drive behavior.<\/span><\/li>\n
        Understanding of core agent design patterns: planning, memory and state management, tool use, and error handling and recovery.<\/span><\/li>\n
        Attention to quality, a builder mindset, and comfort with code reviews, testing, and continuous improvement<\/span><\/li>\n
        Clear written and verbal communication.<\/span><\/li>\n<\/ul>\n
        
        <\/p>\n
        Nice to Have<\/span><\/p>\n
        \n
        Has used AI coding tools to meaningfully change how they build software, not just experimented with them.<\/span><\/li>\n
        Familiarity with <\/span>Docker, Kubernetes, or Azure<\/span><\/li>\n
        Experience shipping AI-powered product features in enterprise software<\/span><\/li>\n
        Interest in cybersecurity, automation, or workflow-heavy systems<\/span><\/li>\n
        Exposure to evaluation, prompt iteration, or reliability practices for LLM applications<\/span><\/li>\n<\/ul>\n
        
        <\/p>\n
        Compensation & Benefits<\/span><\/p>\n
        \n
        We offer competitive compensation along with performance-based bonuses and equity opportunities for exceptional performers.<\/span><\/li>\n
        Extended health and dental benefits<\/span><\/li>\n
        On-site gym access<\/span><\/li>\n
        Commuter expense reimbursement<\/span><\/li>\n
        Team events and social activities<\/span><\/li>\n
        Free foods and snacks in-office<\/span><\/li>\n
        Most importantly:<\/span><\/li>\n<\/ul>\n
        👉 <\/span>Real ownership, real impact, and real growth opportunities<\/span><\/p>\n
        
        <\/p>\n
        Job Type: Full-time, Permanent<\/span><\/p>\n
        
        <\/p>\n
        Schedule: Monday to Friday<\/span><\/p>\n
        
        <\/p>\n
        #HP #AIProductSoftwareEngineer #AIEngineer #AIDeveloper #AgenticEngineer #Python #React #TypeScript #Cybersecurity #SecOps #VancouverJobs #VancouverTech #BCTech #TechJobs #BuildWithAI #FullStackDeveloper #EngineeringJobs #AIJobs2026<\/span><\/p>","identifier":{"@type":"PropertyValue","name":"D3 Security Management Systems","value":"40"},"datePosted":"2026-06-10","employmentType":"OTHER","hiringOrganization":{"@type":"Organization","name":"D3 Security Management Systems","logo":"https://images3.bamboohr.com/99618/logos/cropped.jpg?v=36"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vancouver","addressRegion":"British Columbia","postalCode":"V6C1G8","addressCountry":"Canada"}},"url":"https://d3security.bamboohr.com/careers/40"}Job OpeningsAgentic AI EngineerR&D Development - Vancouver, British ColumbiaLocation: Greater Vancouver Area (In-Office Only) candidates only About D3 Security D3 Security is transforming SecOps with Morpheus, our AI-driven Autonomous Security Operations Center (ASOC) platform. Morpheus automates Tier 1–3 analyst work with unmatched precision, processing millions of alerts in real time and empowering security teams to respond faster and smarter. Our mission: to deliver scalable, intelligent, and integrated security operations solutions for the world’s most forward-thinking organizations. The office is located in beautiful downtown Vancouver next to Burrard Skytrain Station, offering a friendly environment with an energetic, fast-growing and forward-thinking team. Role Summary D3 Security is looking for a hands-on Agentic AI Engineer — a software engineer who designs, builds, and manages AI agents capable of autonomous decision-making, planning, and tool use to execute complex workflows. This role sits at the intersection of agentic AI engineering, full-stack development, and AI-assisted coding workflows. You will work on practical product problems, build reliable software, and apply LLMs and agentic patterns to real customer and internal engineering use cases. This role is ideal for someone who is strong in implementation, comfortable working across the stack, and excited to build production-grade AI agents in an enterprise environment. Please note: this is a software engineering role, not a research or model-training position — you will build production agents on top of foundation models rather than train models. You do not need an AI/ML research background: if you are a strong software engineer who has built features with LLM APIs or used AI coding tools seriously, you are exactly who we are looking for. What You’ll Be Doing Design, build, and manage AI agents capable of autonomous decision-making, planning, and tool use to execute complex customer and internal workflows. Implement agent orchestration, multi-step planning, and tool/function calling that connect LLMs to backend services, APIs, and data systems. Build guardrails, validation, and human-in-the-loop controls that keep agent behavior reliable, safe, and auditable.Work across services and product surfaces to integrate agentic capabilities into production systems in a reliable and maintainable way. Collaborate with engineering, product, and design teammates to define agent behaviors, evaluate solutions, and ship user-facing improvements. Improve the quality of agentic systems through evaluation, testing, experimentation, and iteration — including measuring task success, latency, and cost. Support production readiness through sound engineering practices including observability, debugging, CI/CD, and operational reliability. Contribute to internal patterns and reusable components — prompts, tools, and agent scaffolding — for building agentic features effectively across the product. What You’ll Bring 2+ years of software engineering industry experience building and shipping production applications. Strong coding skills in Python and/or C#, with solid backend engineering fundamentals. Experience with modern web development using JavaScript/TypeScript, and ideally React or similar frameworks. Experience building or integrating API-driven systems and working across application layers. Hands-on experience building LLM-powered or agentic applications, such as tool/function calling, structured outputs, RAG, or multi-step agent workflows. Ability to turn ambiguous product or engineering requirements into structured implementation plans. Good judgment around when agents should act autonomously, and when deterministic software logic, validation, or human approval should drive behavior. Understanding of core agent design patterns: planning, memory and state management, tool use, and error handling and recovery. Attention to quality, a builder mindset, and comfort with code reviews, testing, and continuous improvement Clear written and verbal communication. Nice to Have Has used AI coding tools to meaningfully change how they build software, not just experimented with them. Familiarity with Docker, Kubernetes, or Azure Experience shipping AI-powered product features in enterprise software Interest in cybersecurity, automation, or workflow-heavy systems Exposure to evaluation, prompt iteration, or reliability practices for LLM applications Compensation & Benefits We offer competitive compensation along with performance-based bonuses and equity opportunities for exceptional performers. Extended health and dental benefits On-site gym access Commuter expense reimbursement Team events and social activities Free foods and snacks in-office Most importantly: 👉 Real ownership, real impact, and real growth opportunities Job Type: Full-time, Permanent Schedule: Monday to Friday #HP #AIProductSoftwareEngineer #AIEngineer #AIDeveloper #AgenticEngineer #Python #React #TypeScript #Cybersecurity #SecOps #VancouverJobs #VancouverTech #BCTech #TechJobs #BuildWithAI #FullStackDeveloper #EngineeringJobs #AIJobs2026Apply for This JobLink to This JobLocationVancouver, British ColumbiaDepartmentR&D DevelopmentEmployment TypeFull-TimeMinimum ExperienceMid-levelPrivacy Policy • Terms of Service • © BambooHR All rights reserved.
        Privacy Policy{"@context":"http://schema.org","@type":"JobPosting","title":"Agentic AI Engineer","description":"
        Location:<\/span> Greater Vancouver Area (In-Office Only) candidates only<\/span><\/p>\n
        
        <\/p>\n
        About D3 Security<\/span><\/p>\n
        D3 Security is transforming SecOps with Morpheus, our AI-driven Autonomous Security Operations Center (ASOC) platform. Morpheus automates Tier 1–3 analyst work with unmatched precision, processing millions of alerts in real time and empowering security teams to respond faster and smarter. Our mission: to deliver scalable, intelligent, and integrated security operations solutions for the world’s most forward-thinking organizations.<\/span><\/p>\n
        
        <\/p>\n
        The office is located in beautiful downtown Vancouver next to Burrard Skytrain Station, offering a friendly environment with an energetic, fast-growing and forward-thinking team.<\/span><\/p>\n
        
        <\/p>\n
        Role Summary<\/span><\/p>\n
        D3 Security is looking for a hands-on Agentic AI Engineer<\/span> — a software engineer who designs, builds, and manages AI agents capable of autonomous decision-making, planning, and tool use to execute complex workflows. This role sits at the intersection of agentic AI engineering, full-stack development, and AI-assisted coding workflows<\/span>.<\/span><\/p>\n
        
        You will work on practical product problems, build reliable software, and apply LLMs and agentic patterns to real customer and internal engineering use cases. This role is ideal for someone who is strong in implementation, comfortable working across the stack, and excited to build production-grade AI agents in an enterprise environment.<\/span><\/p>\n
        
        Please note:<\/span> this is a software engineering role, not a research or model-training position — you will build production agents on top of foundation models rather than train models. You do not need an AI/ML research background: if you are a strong software engineer who has built features with LLM APIs or used AI coding tools seriously, you are exactly who we are looking for.<\/span><\/p>\n
        
        <\/p>\n
        What You’ll Be Doing<\/span><\/p>\n
        \n
        Design, build, and manage <\/span>AI agents capable of autonomous decision-making, planning, and tool use<\/span> to execute complex customer and internal workflows.<\/span><\/li>\n
        Implement agent orchestration, multi-step planning, and tool/function calling that connect LLMs to backend services, APIs, and data systems.<\/span><\/li>\n
        Build guardrails, validation, and human-in-the-loop controls that keep agent behavior reliable, safe, and auditable.<\/span>
        <\/span>Work across services and product surfaces to integrate agentic capabilities into production systems in a reliable and maintainable way.<\/span><\/li>\n
        Collaborate with engineering, product, and design teammates to define agent behaviors, evaluate solutions, and ship user-facing improvements.<\/span><\/li>\n
        Improve the quality of agentic systems through evaluation, testing, experimentation, and iteration — including measuring task success, latency, and cost.<\/span><\/li>\n
        Support production readiness through sound engineering practices including observability, debugging, CI/CD, and operational reliability.<\/span><\/li>\n
        Contribute to internal patterns and reusable components — prompts, tools, and agent scaffolding — for building agentic features effectively across the product.<\/span>
        <\/li>\n<\/ul>\n
        
        <\/p>\n
        
        <\/p>\n
        What You’ll Bring<\/span><\/p>\n
        \n
        2+ years of software engineering industry experience building and shipping production applications.<\/span><\/li>\n
        Strong coding skills in <\/span>Python and/or C#<\/span>, with solid backend engineering fundamentals.<\/span><\/li>\n
        Experience with modern web development using <\/span>JavaScript/TypeScript<\/span>, and ideally <\/span>React<\/span> or similar frameworks.<\/span><\/li>\n
        Experience building or integrating API-driven systems and working across application layers.<\/span><\/li>\n
        Hands-on experience building <\/span>LLM-powered or agentic applications<\/span>, such as tool/function calling, structured outputs, RAG, or multi-step agent workflows.<\/span><\/li>\n
        Ability to turn ambiguous product or engineering requirements into structured implementation plans.<\/span><\/li>\n
        Good judgment around when agents should act autonomously, and when deterministic software logic, validation, or human approval should drive behavior.<\/span><\/li>\n
        Understanding of core agent design patterns: planning, memory and state management, tool use, and error handling and recovery.<\/span><\/li>\n
        Attention to quality, a builder mindset, and comfort with code reviews, testing, and continuous improvement<\/span><\/li>\n
        Clear written and verbal communication.<\/span><\/li>\n<\/ul>\n
        
        <\/p>\n
        Nice to Have<\/span><\/p>\n
        \n
        Has used AI coding tools to meaningfully change how they build software, not just experimented with them.<\/span><\/li>\n
        Familiarity with <\/span>Docker, Kubernetes, or Azure<\/span><\/li>\n
        Experience shipping AI-powered product features in enterprise software<\/span><\/li>\n
        Interest in cybersecurity, automation, or workflow-heavy systems<\/span><\/li>\n
        Exposure to evaluation, prompt iteration, or reliability practices for LLM applications<\/span><\/li>\n<\/ul>\n
        
        <\/p>\n
        Compensation & Benefits<\/span><\/p>\n
        \n
        We offer competitive compensation along with performance-based bonuses and equity opportunities for exceptional performers.<\/span><\/li>\n
        Extended health and dental benefits<\/span><\/li>\n
        On-site gym access<\/span><\/li>\n
        Commuter expense reimbursement<\/span><\/li>\n
        Team events and social activities<\/span><\/li>\n
        Free foods and snacks in-office<\/span><\/li>\n
        Most importantly:<\/span><\/li>\n<\/ul>\n
        👉 <\/span>Real ownership, real impact, and real growth opportunities<\/span><\/p>\n
        
        <\/p>\n
        Job Type: Full-time, Permanent<\/span><\/p>\n
        
        <\/p>\n
        Schedule: Monday to Friday<\/span><\/p>\n
        
        <\/p>\n
        #HP #AIProductSoftwareEngineer #AIEngineer #AIDeveloper #AgenticEngineer #Python #React #TypeScript #Cybersecurity #SecOps #VancouverJobs #VancouverTech #BCTech #TechJobs #BuildWithAI #FullStackDeveloper #EngineeringJobs #AIJobs2026<\/span><\/p>","identifier":{"@type":"PropertyValue","name":"D3 Security Management Systems","value":"40"},"datePosted":"2026-06-10","employmentType":"OTHER","hiringOrganization":{"@type":"Organization","name":"D3 Security Management Systems","logo":"https://images3.bamboohr.com/99618/logos/cropped.jpg?v=36"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vancouver","addressRegion":"British Columbia","postalCode":"V6C1G8","addressCountry":"Canada"}},"url":"https://d3security.bamboohr.com/careers/40"}Job OpeningsAgentic AI EngineerR&D Development - Vancouver, British ColumbiaLocation: Greater Vancouver Area (In-Office Only) candidates only About D3 Security D3 Security is transforming SecOps with Morpheus, our AI-driven Autonomous Security Operations Center (ASOC) platform. Morpheus automates Tier 1–3 analyst work with unmatched precision, processing millions of alerts in real time and empowering security teams to respond faster and smarter. Our mission: to deliver scalable, intelligent, and integrated security operations solutions for the world’s most forward-thinking organizations. The office is located in beautiful downtown Vancouver next to Burrard Skytrain Station, offering a friendly environment with an energetic, fast-growing and forward-thinking team. Role Summary D3 Security is looking for a hands-on Agentic AI Engineer — a software engineer who designs, builds, and manages AI agents capable of autonomous decision-making, planning, and tool use to execute complex workflows. This role sits at the intersection of agentic AI engineering, full-stack development, and AI-assisted coding workflows. You will work on practical product problems, build reliable software, and apply LLMs and agentic patterns to real customer and internal engineering use cases. This role is ideal for someone who is strong in implementation, comfortable working across the stack, and excited to build production-grade AI agents in an enterprise environment. Please note: this is a software engineering role, not a research or model-training position — you will build production agents on top of foundation models rather than train models. You do not need an AI/ML research background: if you are a strong software engineer who has built features with LLM APIs or used AI coding tools seriously, you are exactly who we are looking for. What You’ll Be Doing Design, build, and manage AI agents capable of autonomous decision-making, planning, and tool use to execute complex customer and internal workflows. Implement agent orchestration, multi-step planning, and tool/function calling that connect LLMs to backend services, APIs, and data systems. Build guardrails, validation, and human-in-the-loop controls that keep agent behavior reliable, safe, and auditable.Work across services and product surfaces to integrate agentic capabilities into production systems in a reliable and maintainable way. Collaborate with engineering, product, and design teammates to define agent behaviors, evaluate solutions, and ship user-facing improvements. Improve the quality of agentic systems through evaluation, testing, experimentation, and iteration — including measuring task success, latency, and cost. Support production readiness through sound engineering practices including observability, debugging, CI/CD, and operational reliability. Contribute to internal patterns and reusable components — prompts, tools, and agent scaffolding — for building agentic features effectively across the product. What You’ll Bring 2+ years of software engineering industry experience building and shipping production applications. Strong coding skills in Python and/or C#, with solid backend engineering fundamentals. Experience with modern web development using JavaScript/TypeScript, and ideally React or similar frameworks. Experience building or integrating API-driven systems and working across application layers. Hands-on experience building LLM-powered or agentic applications, such as tool/function calling, structured outputs, RAG, or multi-step agent workflows. Ability to turn ambiguous product or engineering requirements into structured implementation plans. Good judgment around when agents should act autonomously, and when deterministic software logic, validation, or human approval should drive behavior. Understanding of core agent design patterns: planning, memory and state management, tool use, and error handling and recovery. Attention to quality, a builder mindset, and comfort with code reviews, testing, and continuous improvement Clear written and verbal communication. Nice to Have Has used AI coding tools to meaningfully change how they build software, not just experimented with them. Familiarity with Docker, Kubernetes, or Azure Experience shipping AI-powered product features in enterprise software Interest in cybersecurity, automation, or workflow-heavy systems Exposure to evaluation, prompt iteration, or reliability practices for LLM applications Compensation & Benefits We offer competitive compensation along with performance-based bonuses and equity opportunities for exceptional performers. Extended health and dental benefits On-site gym access Commuter expense reimbursement Team events and social activities Free foods and snacks in-office Most importantly: 👉 Real ownership, real impact, and real growth opportunities Job Type: Full-time, Permanent Schedule: Monday to Friday #HP #AIProductSoftwareEngineer #AIEngineer #AIDeveloper #AgenticEngineer #Python #React #TypeScript #Cybersecurity #SecOps #VancouverJobs #VancouverTech #BCTech #TechJobs #BuildWithAI #FullStackDeveloper #EngineeringJobs #AIJobs2026Apply for This JobLink to This JobLocationVancouver, British ColumbiaDepartmentR&D DevelopmentEmployment TypeFull-TimeMinimum ExperienceMid-levelPrivacy Policy • Terms of Service • © BambooHR All rights reserved.
        Privacy Policy{"@context":"http://schema.org","@type":"JobPosting","title":"Agentic AI Engineer","description":"
        Location:<\/span> Greater Vancouver Area (In-Office Only) candidates only<\/span><\/p>\n
        
        <\/p>\n
        About D3 Security<\/span><\/p>\n
        D3 Security is transforming SecOps with Morpheus, our AI-driven Autonomous Security Operations Center (ASOC) platform. Morpheus automates Tier 1–3 analyst work with unmatched precision, processing millions of alerts in real time and empowering security teams to respond faster and smarter. Our mission: to deliver scalable, intelligent, and integrated security operations solutions for the world’s most forward-thinking organizations.<\/span><\/p>\n
        
        <\/p>\n
        The office is located in beautiful downtown Vancouver next to Burrard Skytrain Station, offering a friendly environment with an energetic, fast-growing and forward-thinking team.<\/span><\/p>\n
        
        <\/p>\n
        Role Summary<\/span><\/p>\n
        D3 Security is looking for a hands-on Agentic AI Engineer<\/span> — a software engineer who designs, builds, and manages AI agents capable of autonomous decision-making, planning, and tool use to execute complex workflows. This role sits at the intersection of agentic AI engineering, full-stack development, and AI-assisted coding workflows<\/span>.<\/span><\/p>\n
        
        You will work on practical product problems, build reliable software, and apply LLMs and agentic patterns to real customer and internal engineering use cases. This role is ideal for someone who is strong in implementation, comfortable working across the stack, and excited to build production-grade AI agents in an enterprise environment.<\/span><\/p>\n
        
        Please note:<\/span> this is a software engineering role, not a research or model-training position — you will build production agents on top of foundation models rather than train models. You do not need an AI/ML research background: if you are a strong software engineer who has built features with LLM APIs or used AI coding tools seriously, you are exactly who we are looking for.<\/span><\/p>\n
        
        <\/p>\n
        What You’ll Be Doing<\/span><\/p>\n
        \n
        Design, build, and manage <\/span>AI agents capable of autonomous decision-making, planning, and tool use<\/span> to execute complex customer and internal workflows.<\/span><\/li>\n
        Implement agent orchestration, multi-step planning, and tool/function calling that connect LLMs to backend services, APIs, and data systems.<\/span><\/li>\n
        Build guardrails, validation, and human-in-the-loop controls that keep agent behavior reliable, safe, and auditable.<\/span>
        <\/span>Work across services and product surfaces to integrate agentic capabilities into production systems in a reliable and maintainable way.<\/span><\/li>\n
        Collaborate with engineering, product, and design teammates to define agent behaviors, evaluate solutions, and ship user-facing improvements.<\/span><\/li>\n
        Improve the quality of agentic systems through evaluation, testing, experimentation, and iteration — including measuring task success, latency, and cost.<\/span><\/li>\n
        Support production readiness through sound engineering practices including observability, debugging, CI/CD, and operational reliability.<\/span><\/li>\n
        Contribute to internal patterns and reusable components — prompts, tools, and agent scaffolding — for building agentic features effectively across the product.<\/span>
        <\/li>\n<\/ul>\n
        
        <\/p>\n
        
        <\/p>\n
        What You’ll Bring<\/span><\/p>\n
        \n
        2+ years of software engineering industry experience building and shipping production applications.<\/span><\/li>\n
        Strong coding skills in <\/span>Python and/or C#<\/span>, with solid backend engineering fundamentals.<\/span><\/li>\n
        Experience with modern web development using <\/span>JavaScript/TypeScript<\/span>, and ideally <\/span>React<\/span> or similar frameworks.<\/span><\/li>\n
        Experience building or integrating API-driven systems and working across application layers.<\/span><\/li>\n
        Hands-on experience building <\/span>LLM-powered or agentic applications<\/span>, such as tool/function calling, structured outputs, RAG, or multi-step agent workflows.<\/span><\/li>\n
        Ability to turn ambiguous product or engineering requirements into structured implementation plans.<\/span><\/li>\n
        Good judgment around when agents should act autonomously, and when deterministic software logic, validation, or human approval should drive behavior.<\/span><\/li>\n
        Understanding of core agent design patterns: planning, memory and state management, tool use, and error handling and recovery.<\/span><\/li>\n
        Attention to quality, a builder mindset, and comfort with code reviews, testing, and continuous improvement<\/span><\/li>\n
        Clear written and verbal communication.<\/span><\/li>\n<\/ul>\n
        
        <\/p>\n
        Nice to Have<\/span><\/p>\n
        \n
        Has used AI coding tools to meaningfully change how they build software, not just experimented with them.<\/span><\/li>\n
        Familiarity with <\/span>Docker, Kubernetes, or Azure<\/span><\/li>\n
        Experience shipping AI-powered product features in enterprise software<\/span><\/li>\n
        Interest in cybersecurity, automation, or workflow-heavy systems<\/span><\/li>\n
        Exposure to evaluation, prompt iteration, or reliability practices for LLM applications<\/span><\/li>\n<\/ul>\n
        
        <\/p>\n
        Compensation & Benefits<\/span><\/p>\n
        \n
        We offer competitive compensation along with performance-based bonuses and equity opportunities for exceptional performers.<\/span><\/li>\n
        Extended health and dental benefits<\/span><\/li>\n
        On-site gym access<\/span><\/li>\n
        Commuter expense reimbursement<\/span><\/li>\n
        Team events and social activities<\/span><\/li>\n
        Free foods and snacks in-office<\/span><\/li>\n
        Most importantly:<\/span><\/li>\n<\/ul>\n
        👉 <\/span>Real ownership, real impact, and real growth opportunities<\/span><\/p>\n
        
        <\/p>\n
        Job Type: Full-time, Permanent<\/span><\/p>\n
        
        <\/p>\n
        Schedule: Monday to Friday<\/span><\/p>\n
        
        <\/p>\n
        #HP #AIProductSoftwareEngineer #AIEngineer #AIDeveloper #AgenticEngineer #Python #React #TypeScript #Cybersecurity #SecOps #VancouverJobs #VancouverTech #BCTech #TechJobs #BuildWithAI #FullStackDeveloper #EngineeringJobs #AIJobs2026<\/span><\/p>","identifier":{"@type":"PropertyValue","name":"D3 Security Management Systems","value":"40"},"datePosted":"2026-06-10","employmentType":"OTHER","hiringOrganization":{"@type":"Organization","name":"D3 Security Management Systems","logo":"https://images3.bamboohr.com/99618/logos/cropped.jpg?v=36"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vancouver","addressRegion":"British Columbia","postalCode":"V6C1G8","addressCountry":"Canada"}},"url":"https://d3security.bamboohr.com/careers/40"}Job OpeningsAgentic AI EngineerR&D Development - Vancouver, British ColumbiaLocation: Greater Vancouver Area (In-Office Only) candidates only About D3 Security D3 Security is transforming SecOps with Morpheus, our AI-driven Autonomous Security Operations Center (ASOC) platform. Morpheus automates Tier 1–3 analyst work with unmatched precision, processing millions of alerts in real time and empowering security teams to respond faster and smarter. Our mission: to deliver scalable, intelligent, and integrated security operations solutions for the world’s most forward-thinking organizations. The office is located in beautiful downtown Vancouver next to Burrard Skytrain Station, offering a friendly environment with an energetic, fast-growing and forward-thinking team. Role Summary D3 Security is looking for a hands-on Agentic AI Engineer — a software engineer who designs, builds, and manages AI agents capable of autonomous decision-making, planning, and tool use to execute complex workflows. This role sits at the intersection of agentic AI engineering, full-stack development, and AI-assisted coding workflows. You will work on practical product problems, build reliable software, and apply LLMs and agentic patterns to real customer and internal engineering use cases. This role is ideal for someone who is strong in implementation, comfortable working across the stack, and excited to build production-grade AI agents in an enterprise environment. Please note: this is a software engineering role, not a research or model-training position — you will build production agents on top of foundation models rather than train models. You do not need an AI/ML research background: if you are a strong software engineer who has built features with LLM APIs or used AI coding tools seriously, you are exactly who we are looking for. What You’ll Be Doing Design, build, and manage AI agents capable of autonomous decision-making, planning, and tool use to execute complex customer and internal workflows. Implement agent orchestration, multi-step planning, and tool/function calling that connect LLMs to backend services, APIs, and data systems. Build guardrails, validation, and human-in-the-loop controls that keep agent behavior reliable, safe, and auditable.Work across services and product surfaces to integrate agentic capabilities into production systems in a reliable and maintainable way. Collaborate with engineering, product, and design teammates to define agent behaviors, evaluate solutions, and ship user-facing improvements. Improve the quality of agentic systems through evaluation, testing, experimentation, and iteration — including measuring task success, latency, and cost. Support production readiness through sound engineering practices including observability, debugging, CI/CD, and operational reliability. Contribute to internal patterns and reusable components — prompts, tools, and agent scaffolding — for building agentic features effectively across the product. What You’ll Bring 2+ years of software engineering industry experience building and shipping production applications. Strong coding skills in Python and/or C#, with solid backend engineering fundamentals. Experience with modern web development using JavaScript/TypeScript, and ideally React or similar frameworks. Experience building or integrating API-driven systems and working across application layers. Hands-on experience building LLM-powered or agentic applications, such as tool/function calling, structured outputs, RAG, or multi-step agent workflows. Ability to turn ambiguous product or engineering requirements into structured implementation plans. Good judgment around when agents should act autonomously, and when deterministic software logic, validation, or human approval should drive behavior. Understanding of core agent design patterns: planning, memory and state management, tool use, and error handling and recovery. Attention to quality, a builder mindset, and comfort with code reviews, testing, and continuous improvement Clear written and verbal communication. Nice to Have Has used AI coding tools to meaningfully change how they build software, not just experimented with them. Familiarity with Docker, Kubernetes, or Azure Experience shipping AI-powered product features in enterprise software Interest in cybersecurity, automation, or workflow-heavy systems Exposure to evaluation, prompt iteration, or reliability practices for LLM applications Compensation & Benefits We offer competitive compensation along with performance-based bonuses and equity opportunities for exceptional performers. Extended health and dental benefits On-site gym access Commuter expense reimbursement Team events and social activities Free foods and snacks in-office Most importantly: 👉 Real ownership, real impact, and real growth opportunities Job Type: Full-time, Permanent Schedule: Monday to Friday #HP #AIProductSoftwareEngineer #AIEngineer #AIDeveloper #AgenticEngineer #Python #React #TypeScript #Cybersecurity #SecOps #VancouverJobs #VancouverTech #BCTech #TechJobs #BuildWithAI #FullStackDeveloper #EngineeringJobs #AIJobs2026Apply for This JobLink to This JobLocationVancouver, British ColumbiaDepartmentR&D DevelopmentEmployment TypeFull-TimeMinimum ExperienceMid-level
        Privacy Policy
        Privacy Policy
        Privacy Policy
        Privacy Policy
        Privacy Policy
        Job OpeningsAgentic AI EngineerR&D Development - Vancouver, British ColumbiaLocation: Greater Vancouver Area (In-Office Only) candidates only About D3 Security D3 Security is transforming SecOps with Morpheus, our AI-driven Autonomous Security Operations Center (ASOC) platform. Morpheus automates Tier 1–3 analyst work with unmatched precision, processing millions of alerts in real time and empowering security teams to respond faster and smarter. Our mission: to deliver scalable, intelligent, and integrated security operations solutions for the world’s most forward-thinking organizations. The office is located in beautiful downtown Vancouver next to Burrard Skytrain Station, offering a friendly environment with an energetic, fast-growing and forward-thinking team. Role Summary D3 Security is looking for a hands-on Agentic AI Engineer — a software engineer who designs, builds, and manages AI agents capable of autonomous decision-making, planning, and tool use to execute complex workflows. This role sits at the intersection of agentic AI engineering, full-stack development, and AI-assisted coding workflows. You will work on practical product problems, build reliable software, and apply LLMs and agentic patterns to real customer and internal engineering use cases. This role is ideal for someone who is strong in implementation, comfortable working across the stack, and excited to build production-grade AI agents in an enterprise environment. Please note: this is a software engineering role, not a research or model-training position — you will build production agents on top of foundation models rather than train models. You do not need an AI/ML research background: if you are a strong software engineer who has built features with LLM APIs or used AI coding tools seriously, you are exactly who we are looking for. What You’ll Be Doing Design, build, and manage AI agents capable of autonomous decision-making, planning, and tool use to execute complex customer and internal workflows. Implement agent orchestration, multi-step planning, and tool/function calling that connect LLMs to backend services, APIs, and data systems. Build guardrails, validation, and human-in-the-loop controls that keep agent behavior reliable, safe, and auditable.Work across services and product surfaces to integrate agentic capabilities into production systems in a reliable and maintainable way. Collaborate with engineering, product, and design teammates to define agent behaviors, evaluate solutions, and ship user-facing improvements. Improve the quality of agentic systems through evaluation, testing, experimentation, and iteration — including measuring task success, latency, and cost. Support production readiness through sound engineering practices including observability, debugging, CI/CD, and operational reliability. Contribute to internal patterns and reusable components — prompts, tools, and agent scaffolding — for building agentic features effectively across the product. What You’ll Bring 2+ years of software engineering industry experience building and shipping production applications. Strong coding skills in Python and/or C#, with solid backend engineering fundamentals. Experience with modern web development using JavaScript/TypeScript, and ideally React or similar frameworks. Experience building or integrating API-driven systems and working across application layers. Hands-on experience building LLM-powered or agentic applications, such as tool/function calling, structured outputs, RAG, or multi-step agent workflows. Ability to turn ambiguous product or engineering requirements into structured implementation plans. Good judgment around when agents should act autonomously, and when deterministic software logic, validation, or human approval should drive behavior. Understanding of core agent design patterns: planning, memory and state management, tool use, and error handling and recovery. Attention to quality, a builder mindset, and comfort with code reviews, testing, and continuous improvement Clear written and verbal communication. Nice to Have Has used AI coding tools to meaningfully change how they build software, not just experimented with them. Familiarity with Docker, Kubernetes, or Azure Experience shipping AI-powered product features in enterprise software Interest in cybersecurity, automation, or workflow-heavy systems Exposure to evaluation, prompt iteration, or reliability practices for LLM applications Compensation & Benefits We offer competitive compensation along with performance-based bonuses and equity opportunities for exceptional performers. Extended health and dental benefits On-site gym access Commuter expense reimbursement Team events and social activities Free foods and snacks in-office Most importantly: 👉 Real ownership, real impact, and real growth opportunities Job Type: Full-time, Permanent Schedule: Monday to Friday #HP #AIProductSoftwareEngineer #AIEngineer #AIDeveloper #AgenticEngineer #Python #React #TypeScript #Cybersecurity #SecOps #VancouverJobs #VancouverTech #BCTech #TechJobs #BuildWithAI #FullStackDeveloper #EngineeringJobs #AIJobs2026Apply for This JobLink to This JobLocationVancouver, British ColumbiaDepartmentR&D DevelopmentEmployment TypeFull-TimeMinimum ExperienceMid-level
        Job OpeningsAgentic AI EngineerR&D Development - Vancouver, British ColumbiaLocation: Greater Vancouver Area (In-Office Only) candidates only About D3 Security D3 Security is transforming SecOps with Morpheus, our AI-driven Autonomous Security Operations Center (ASOC) platform. Morpheus automates Tier 1–3 analyst work with unmatched precision, processing millions of alerts in real time and empowering security teams to respond faster and smarter. Our mission: to deliver scalable, intelligent, and integrated security operations solutions for the world’s most forward-thinking organizations. The office is located in beautiful downtown Vancouver next to Burrard Skytrain Station, offering a friendly environment with an energetic, fast-growing and forward-thinking team. Role Summary D3 Security is looking for a hands-on Agentic AI Engineer — a software engineer who designs, builds, and manages AI agents capable of autonomous decision-making, planning, and tool use to execute complex workflows. This role sits at the intersection of agentic AI engineering, full-stack development, and AI-assisted coding workflows. You will work on practical product problems, build reliable software, and apply LLMs and agentic patterns to real customer and internal engineering use cases. This role is ideal for someone who is strong in implementation, comfortable working across the stack, and excited to build production-grade AI agents in an enterprise environment. Please note: this is a software engineering role, not a research or model-training position — you will build production agents on top of foundation models rather than train models. You do not need an AI/ML research background: if you are a strong software engineer who has built features with LLM APIs or used AI coding tools seriously, you are exactly who we are looking for. What You’ll Be Doing Design, build, and manage AI agents capable of autonomous decision-making, planning, and tool use to execute complex customer and internal workflows. Implement agent orchestration, multi-step planning, and tool/function calling that connect LLMs to backend services, APIs, and data systems. Build guardrails, validation, and human-in-the-loop controls that keep agent behavior reliable, safe, and auditable.Work across services and product surfaces to integrate agentic capabilities into production systems in a reliable and maintainable way. Collaborate with engineering, product, and design teammates to define agent behaviors, evaluate solutions, and ship user-facing improvements. Improve the quality of agentic systems through evaluation, testing, experimentation, and iteration — including measuring task success, latency, and cost. Support production readiness through sound engineering practices including observability, debugging, CI/CD, and operational reliability. Contribute to internal patterns and reusable components — prompts, tools, and agent scaffolding — for building agentic features effectively across the product. What You’ll Bring 2+ years of software engineering industry experience building and shipping production applications. Strong coding skills in Python and/or C#, with solid backend engineering fundamentals. Experience with modern web development using JavaScript/TypeScript, and ideally React or similar frameworks. Experience building or integrating API-driven systems and working across application layers. Hands-on experience building LLM-powered or agentic applications, such as tool/function calling, structured outputs, RAG, or multi-step agent workflows. Ability to turn ambiguous product or engineering requirements into structured implementation plans. Good judgment around when agents should act autonomously, and when deterministic software logic, validation, or human approval should drive behavior. Understanding of core agent design patterns: planning, memory and state management, tool use, and error handling and recovery. Attention to quality, a builder mindset, and comfort with code reviews, testing, and continuous improvement Clear written and verbal communication. Nice to Have Has used AI coding tools to meaningfully change how they build software, not just experimented with them. Familiarity with Docker, Kubernetes, or Azure Experience shipping AI-powered product features in enterprise software Interest in cybersecurity, automation, or workflow-heavy systems Exposure to evaluation, prompt iteration, or reliability practices for LLM applications Compensation & Benefits We offer competitive compensation along with performance-based bonuses and equity opportunities for exceptional performers. Extended health and dental benefits On-site gym access Commuter expense reimbursement Team events and social activities Free foods and snacks in-office Most importantly: 👉 Real ownership, real impact, and real growth opportunities Job Type: Full-time, Permanent Schedule: Monday to Friday #HP #AIProductSoftwareEngineer #AIEngineer #AIDeveloper #AgenticEngineer #Python #React #TypeScript #Cybersecurity #SecOps #VancouverJobs #VancouverTech #BCTech #TechJobs #BuildWithAI #FullStackDeveloper #EngineeringJobs #AIJobs2026
        Job Openings
        Job Openings
        Job Openings
        Agentic AI EngineerR&D Development - Vancouver, British Columbia
        Agentic AI EngineerR&D Development - Vancouver, British Columbia
        Agentic AI EngineerR&D Development - Vancouver, British Columbia
        Agentic AI Engineer
        R&D Development - Vancouver, British Columbia
        Location: Greater Vancouver Area (In-Office Only) candidates only About D3 Security D3 Security is transforming SecOps with Morpheus, our AI-driven Autonomous Security Operations Center (ASOC) platform. Morpheus automates Tier 1–3 analyst work with unmatched precision, processing millions of alerts in real time and empowering security teams to respond faster and smarter. Our mission: to deliver scalable, intelligent, and integrated security operations solutions for the world’s most forward-thinking organizations. The office is located in beautiful downtown Vancouver next to Burrard Skytrain Station, offering a friendly environment with an energetic, fast-growing and forward-thinking team. Role Summary D3 Security is looking for a hands-on Agentic AI Engineer — a software engineer who designs, builds, and manages AI agents capable of autonomous decision-making, planning, and tool use to execute complex workflows. This role sits at the intersection of agentic AI engineering, full-stack development, and AI-assisted coding workflows. You will work on practical product problems, build reliable software, and apply LLMs and agentic patterns to real customer and internal engineering use cases. This role is ideal for someone who is strong in implementation, comfortable working across the stack, and excited to build production-grade AI agents in an enterprise environment. Please note: this is a software engineering role, not a research or model-training position — you will build production agents on top of foundation models rather than train models. You do not need an AI/ML research background: if you are a strong software engineer who has built features with LLM APIs or used AI coding tools seriously, you are exactly who we are looking for. What You’ll Be Doing Design, build, and manage AI agents capable of autonomous decision-making, planning, and tool use to execute complex customer and internal workflows. Implement agent orchestration, multi-step planning, and tool/function calling that connect LLMs to backend services, APIs, and data systems. Build guardrails, validation, and human-in-the-loop controls that keep agent behavior reliable, safe, and auditable.Work across services and product surfaces to integrate agentic capabilities into production systems in a reliable and maintainable way. Collaborate with engineering, product, and design teammates to define agent behaviors, evaluate solutions, and ship user-facing improvements. Improve the quality of agentic systems through evaluation, testing, experimentation, and iteration — including measuring task success, latency, and cost. Support production readiness through sound engineering practices including observability, debugging, CI/CD, and operational reliability. Contribute to internal patterns and reusable components — prompts, tools, and agent scaffolding — for building agentic features effectively across the product. What You’ll Bring 2+ years of software engineering industry experience building and shipping production applications. Strong coding skills in Python and/or C#, with solid backend engineering fundamentals. Experience with modern web development using JavaScript/TypeScript, and ideally React or similar frameworks. Experience building or integrating API-driven systems and working across application layers. Hands-on experience building LLM-powered or agentic applications, such as tool/function calling, structured outputs, RAG, or multi-step agent workflows. Ability to turn ambiguous product or engineering requirements into structured implementation plans. Good judgment around when agents should act autonomously, and when deterministic software logic, validation, or human approval should drive behavior. Understanding of core agent design patterns: planning, memory and state management, tool use, and error handling and recovery. Attention to quality, a builder mindset, and comfort with code reviews, testing, and continuous improvement Clear written and verbal communication. Nice to Have Has used AI coding tools to meaningfully change how they build software, not just experimented with them. Familiarity with Docker, Kubernetes, or Azure Experience shipping AI-powered product features in enterprise software Interest in cybersecurity, automation, or workflow-heavy systems Exposure to evaluation, prompt iteration, or reliability practices for LLM applications Compensation & Benefits We offer competitive compensation along with performance-based bonuses and equity opportunities for exceptional performers. Extended health and dental benefits On-site gym access Commuter expense reimbursement Team events and social activities Free foods and snacks in-office Most importantly: 👉 Real ownership, real impact, and real growth opportunities Job Type: Full-time, Permanent Schedule: Monday to Friday #HP #AIProductSoftwareEngineer #AIEngineer #AIDeveloper #AgenticEngineer #Python #React #TypeScript #Cybersecurity #SecOps #VancouverJobs #VancouverTech #BCTech #TechJobs #BuildWithAI #FullStackDeveloper #EngineeringJobs #AIJobs2026
        Location: Greater Vancouver Area (In-Office Only) candidates only About D3 Security D3 Security is transforming SecOps with Morpheus, our AI-driven Autonomous Security Operations Center (ASOC) platform. Morpheus automates Tier 1–3 analyst work with unmatched precision, processing millions of alerts in real time and empowering security teams to respond faster and smarter. Our mission: to deliver scalable, intelligent, and integrated security operations solutions for the world’s most forward-thinking organizations. The office is located in beautiful downtown Vancouver next to Burrard Skytrain Station, offering a friendly environment with an energetic, fast-growing and forward-thinking team. Role Summary D3 Security is looking for a hands-on Agentic AI Engineer — a software engineer who designs, builds, and manages AI agents capable of autonomous decision-making, planning, and tool use to execute complex workflows. This role sits at the intersection of agentic AI engineering, full-stack development, and AI-assisted coding workflows. You will work on practical product problems, build reliable software, and apply LLMs and agentic patterns to real customer and internal engineering use cases. This role is ideal for someone who is strong in implementation, comfortable working across the stack, and excited to build production-grade AI agents in an enterprise environment. Please note: this is a software engineering role, not a research or model-training position — you will build production agents on top of foundation models rather than train models. You do not need an AI/ML research background: if you are a strong software engineer who has built features with LLM APIs or used AI coding tools seriously, you are exactly who we are looking for. What You’ll Be Doing Design, build, and manage AI agents capable of autonomous decision-making, planning, and tool use to execute complex customer and internal workflows. Implement agent orchestration, multi-step planning, and tool/function calling that connect LLMs to backend services, APIs, and data systems. Build guardrails, validation, and human-in-the-loop controls that keep agent behavior reliable, safe, and auditable.Work across services and product surfaces to integrate agentic capabilities into production systems in a reliable and maintainable way. Collaborate with engineering, product, and design teammates to define agent behaviors, evaluate solutions, and ship user-facing improvements. Improve the quality of agentic systems through evaluation, testing, experimentation, and iteration — including measuring task success, latency, and cost. Support production readiness through sound engineering practices including observability, debugging, CI/CD, and operational reliability. Contribute to internal patterns and reusable components — prompts, tools, and agent scaffolding — for building agentic features effectively across the product. What You’ll Bring 2+ years of software engineering industry experience building and shipping production applications. Strong coding skills in Python and/or C#, with solid backend engineering fundamentals. Experience with modern web development using JavaScript/TypeScript, and ideally React or similar frameworks. Experience building or integrating API-driven systems and working across application layers. Hands-on experience building LLM-powered or agentic applications, such as tool/function calling, structured outputs, RAG, or multi-step agent workflows. Ability to turn ambiguous product or engineering requirements into structured implementation plans. Good judgment around when agents should act autonomously, and when deterministic software logic, validation, or human approval should drive behavior. Understanding of core agent design patterns: planning, memory and state management, tool use, and error handling and recovery. Attention to quality, a builder mindset, and comfort with code reviews, testing, and continuous improvement Clear written and verbal communication. Nice to Have Has used AI coding tools to meaningfully change how they build software, not just experimented with them. Familiarity with Docker, Kubernetes, or Azure Experience shipping AI-powered product features in enterprise software Interest in cybersecurity, automation, or workflow-heavy systems Exposure to evaluation, prompt iteration, or reliability practices for LLM applications Compensation & Benefits We offer competitive compensation along with performance-based bonuses and equity opportunities for exceptional performers. Extended health and dental benefits On-site gym access Commuter expense reimbursement Team events and social activities Free foods and snacks in-office Most importantly: 👉 Real ownership, real impact, and real growth opportunities Job Type: Full-time, Permanent Schedule: Monday to Friday #HP #AIProductSoftwareEngineer #AIEngineer #AIDeveloper #AgenticEngineer #Python #React #TypeScript #Cybersecurity #SecOps #VancouverJobs #VancouverTech #BCTech #TechJobs #BuildWithAI #FullStackDeveloper #EngineeringJobs #AIJobs2026
        Location: Greater Vancouver Area (In-Office Only) candidates only About D3 Security D3 Security is transforming SecOps with Morpheus, our AI-driven Autonomous Security Operations Center (ASOC) platform. Morpheus automates Tier 1–3 analyst work with unmatched precision, processing millions of alerts in real time and empowering security teams to respond faster and smarter. Our mission: to deliver scalable, intelligent, and integrated security operations solutions for the world’s most forward-thinking organizations. The office is located in beautiful downtown Vancouver next to Burrard Skytrain Station, offering a friendly environment with an energetic, fast-growing and forward-thinking team. Role Summary D3 Security is looking for a hands-on Agentic AI Engineer — a software engineer who designs, builds, and manages AI agents capable of autonomous decision-making, planning, and tool use to execute complex workflows. This role sits at the intersection of agentic AI engineering, full-stack development, and AI-assisted coding workflows. You will work on practical product problems, build reliable software, and apply LLMs and agentic patterns to real customer and internal engineering use cases. This role is ideal for someone who is strong in implementation, comfortable working across the stack, and excited to build production-grade AI agents in an enterprise environment. Please note: this is a software engineering role, not a research or model-training position — you will build production agents on top of foundation models rather than train models. You do not need an AI/ML research background: if you are a strong software engineer who has built features with LLM APIs or used AI coding tools seriously, you are exactly who we are looking for. What You’ll Be Doing Design, build, and manage AI agents capable of autonomous decision-making, planning, and tool use to execute complex customer and internal workflows. Implement agent orchestration, multi-step planning, and tool/function calling that connect LLMs to backend services, APIs, and data systems. Build guardrails, validation, and human-in-the-loop controls that keep agent behavior reliable, safe, and auditable.Work across services and product surfaces to integrate agentic capabilities into production systems in a reliable and maintainable way. Collaborate with engineering, product, and design teammates to define agent behaviors, evaluate solutions, and ship user-facing improvements. Improve the quality of agentic systems through evaluation, testing, experimentation, and iteration — including measuring task success, latency, and cost. Support production readiness through sound engineering practices including observability, debugging, CI/CD, and operational reliability. Contribute to internal patterns and reusable components — prompts, tools, and agent scaffolding — for building agentic features effectively across the product. What You’ll Bring 2+ years of software engineering industry experience building and shipping production applications. Strong coding skills in Python and/or C#, with solid backend engineering fundamentals. Experience with modern web development using JavaScript/TypeScript, and ideally React or similar frameworks. Experience building or integrating API-driven systems and working across application layers. Hands-on experience building LLM-powered or agentic applications, such as tool/function calling, structured outputs, RAG, or multi-step agent workflows. Ability to turn ambiguous product or engineering requirements into structured implementation plans. Good judgment around when agents should act autonomously, and when deterministic software logic, validation, or human approval should drive behavior. Understanding of core agent design patterns: planning, memory and state management, tool use, and error handling and recovery. Attention to quality, a builder mindset, and comfort with code reviews, testing, and continuous improvement Clear written and verbal communication. Nice to Have Has used AI coding tools to meaningfully change how they build software, not just experimented with them. Familiarity with Docker, Kubernetes, or Azure Experience shipping AI-powered product features in enterprise software Interest in cybersecurity, automation, or workflow-heavy systems Exposure to evaluation, prompt iteration, or reliability practices for LLM applications Compensation & Benefits We offer competitive compensation along with performance-based bonuses and equity opportunities for exceptional performers. Extended health and dental benefits On-site gym access Commuter expense reimbursement Team events and social activities Free foods and snacks in-office Most importantly: 👉 Real ownership, real impact, and real growth opportunities Job Type: Full-time, Permanent Schedule: Monday to Friday #HP #AIProductSoftwareEngineer #AIEngineer #AIDeveloper #AgenticEngineer #Python #React #TypeScript #Cybersecurity #SecOps #VancouverJobs #VancouverTech #BCTech #TechJobs #BuildWithAI #FullStackDeveloper #EngineeringJobs #AIJobs2026
        Location: Greater Vancouver Area (In-Office Only) candidates only
        Location:
        Greater Vancouver Area (In-Office Only) candidates only
        About D3 Security
        About D3 Security
        D3 Security is transforming SecOps with Morpheus, our AI-driven Autonomous Security Operations Center (ASOC) platform. Morpheus automates Tier 1–3 analyst work with unmatched precision, processing millions of alerts in real time and empowering security teams to respond faster and smarter. Our mission: to deliver scalable, intelligent, and integrated security operations solutions for the world’s most forward-thinking organizations.
        D3 Security is transforming SecOps with Morpheus, our AI-driven Autonomous Security Operations Center (ASOC) platform. Morpheus automates Tier 1–3 analyst work with unmatched precision, processing millions of alerts in real time and empowering security teams to respond faster and smarter. Our mission: to deliver scalable, intelligent, and integrated security operations solutions for the world’s most forward-thinking organizations.
        The office is located in beautiful downtown Vancouver next to Burrard Skytrain Station, offering a friendly environment with an energetic, fast-growing and forward-thinking team.
        The office is located in beautiful downtown Vancouver next to Burrard Skytrain Station, offering a friendly environment with an energetic, fast-growing and forward-thinking team.
        Role Summary
        Role Summary
        D3 Security is looking for a hands-on Agentic AI Engineer — a software engineer who designs, builds, and manages AI agents capable of autonomous decision-making, planning, and tool use to execute complex workflows. This role sits at the intersection of agentic AI engineering, full-stack development, and AI-assisted coding workflows.
        D3 Security is looking for a hands-on Agentic AI Engineer — a software engineer who designs, builds, and manages AI agents capable of autonomous decision-making, planning, and tool use to execute complex workflows. This role sits at the intersection of agentic AI engineering, full-stack development, and AI-assisted coding workflows.
        Agentic AI Engineer
        agentic AI engineering, full-stack development, and AI-assisted coding workflows
        You will work on practical product problems, build reliable software, and apply LLMs and agentic patterns to real customer and internal engineering use cases. This role is ideal for someone who is strong in implementation, comfortable working across the stack, and excited to build production-grade AI agents in an enterprise environment.
        You will work on practical product problems, build reliable software, and apply LLMs and agentic patterns to real customer and internal engineering use cases. This role is ideal for someone who is strong in implementation, comfortable working across the stack, and excited to build production-grade AI agents in an enterprise environment.
        Please note: this is a software engineering role, not a research or model-training position — you will build production agents on top of foundation models rather than train models. You do not need an AI/ML research background: if you are a strong software engineer who has built features with LLM APIs or used AI coding tools seriously, you are exactly who we are looking for.
        Please note: this is a software engineering role, not a research or model-training position — you will build production agents on top of foundation models rather than train models. You do not need an AI/ML research background: if you are a strong software engineer who has built features with LLM APIs or used AI coding tools seriously, you are exactly who we are looking for.
        Please note:
        What You’ll Be Doing
        What You’ll Be Doing
        Design, build, and manage AI agents capable of autonomous decision-making, planning, and tool use to execute complex customer and internal workflows.
        Design, build, and manage
        AI agents capable of autonomous decision-making, planning, and tool use
        to execute complex customer and internal workflows.
        Implement agent orchestration, multi-step planning, and tool/function calling that connect LLMs to backend services, APIs, and data systems.