Senior Software Engineer – AI IIRecruiter: Symbiotic ServicesAre you passionate about building AI-driven software that transforms how professionals work? Symbiotic Services is recruiting a Senior Software Engineer – AI II for an opportunity with a leading global organization. This role combines innovative, fast-paced engineering with the scale and stability of a large enterprise, focused on delivering AI-powered solutions that modernize tax and accounting workflows through automation and intelligence.About the RoleIn this role, you will:Design and implement advanced AI systems, including multi-component pipelines, Retrieval-Augmented Generation (RAG) architectures, and custom AI agentsEnsure system quality, reliability, and compliance through strong testing frameworks, monitoring solutions, and responsible AI practicesProactively identify risks and performance issues, making data-driven recommendations and implementing corrective actionsCollaborate with cross-functional partners across Product, UX, and Data/Science teams to align AI capabilities with business objectivesLead and execute proof-of-concepts (POCs) to evaluate emerging technologies and innovative AI use casesReview existing systems and recommend improvements to scalability, performance, and overall architectureStay current with evolving AI technologies and promote continuous learning and adoption across the teamRequired Qualifications5+ years of software engineering experience, including 2+ years focused on AI/MLStrong proficiency in Python, with experience building web applications, distributed systems, and APIsHands-on experience with AI/ML frameworks such as PyTorch and TensorFlowDeep understanding of AI systems, including RAG architectures, AI agents, and agent-based systemsExperience integrating AI models into production environments using APIs and data pipelinesFamiliarity with vector databases, embeddings, and search-based AI solutionsStrong knowledge of machine learning fundamentals, model evaluation, system design, and end-to-end MLOpsA passion for learning new technologies and advancing modern engineering practicesPreferred Qualifications2–3 years of experience designing, deploying, and operating scalable cloud services using AWS (e.g., Lambda, S3, EC2)What’s in It for YouHybrid Work Model: Flexible schedule with a combination of in-office and remote workWork-Life Balance: Supportive flexibility programs, including work-from-anywhere options for part of the yearCareer Growth: Strong focus on continuous learning, skill development, and advancement in an AI-driven environmentCompetitive Benefits: Comprehensive benefits package including flexible vacation, mental health resources, retirement savings, tuition reimbursement, and incentive programsInclusive Culture: A collaborative, values-driven workplace committed to inclusion and belongingSocial Impact: Paid volunteer time and opportunities to contribute to community and ESG initiativesCompensation (Ontario, Canada)Base Salary Range: $100,000 – $145,000 CADCompensation is determined by experience, skills, and internal equity, and is part of a comprehensive total rewards package that may include an annual performance-based bonus.Symbiotic Services is proud to represent this opportunity and is committed to delivering a professional, confidential, and inclusive recruitment experience.Senior Software Engineer – AI IIRecruiter: Symbiotic ServicesAre you passionate about building AI-driven software that transforms how professionals work? Symbiotic Services is recruiting a Senior Software Engineer – AI II for an opportunity with a leading global organization. This role combines innovative, fast-paced engineering with the scale and stability of a large enterprise, focused on delivering AI-powered solutions that modernize tax and accounting workflows through automation and intelligence.About the RoleIn this role, you will:Design and implement advanced AI systems, including multi-component pipelines, Retrieval-Augmented Generation (RAG) architectures, and custom AI agentsEnsure system quality, reliability, and compliance through strong testing frameworks, monitoring solutions, and responsible AI practicesProactively identify risks and performance issues, making data-driven recommendations and implementing corrective actionsCollaborate with cross-functional partners across Product, UX, and Data/Science teams to align AI capabilities with business objectivesLead and execute proof-of-concepts (POCs) to evaluate emerging technologies and innovative AI use casesReview existing systems and recommend improvements to scalability, performance, and overall architectureStay current with evolving AI technologies and promote continuous learning and adoption across the teamRequired Qualifications5+ years of software engineering experience, including 2+ years focused on AI/MLStrong proficiency in Python, with experience building web applications, distributed systems, and APIsHands-on experience with AI/ML frameworks such as PyTorch and TensorFlowDeep understanding of AI systems, including RAG architectures, AI agents, and agent-based systemsExperience integrating AI models into production environments using APIs and data pipelinesFamiliarity with vector databases, embeddings, and search-based AI solutionsStrong knowledge of machine learning fundamentals, model evaluation, system design, and end-to-end MLOpsA passion for learning new technologies and advancing modern engineering practicesPreferred Qualifications2–3 years of experience designing, deploying, and operating scalable cloud services using AWS (e.g., Lambda, S3, EC2)What’s in It for YouHybrid Work Model: Flexible schedule with a combination of in-office and remote workWork-Life Balance: Supportive flexibility programs, including work-from-anywhere options for part of the yearCareer Growth: Strong focus on continuous learning, skill development, and advancement in an AI-driven environmentCompetitive Benefits: Comprehensive benefits package including flexible vacation, mental health resources, retirement savings, tuition reimbursement, and incentive programsInclusive Culture: A collaborative, values-driven workplace committed to inclusion and belongingSocial Impact: Paid volunteer time and opportunities to contribute to community and ESG initiativesCompensation (Ontario, Canada)Base Salary Range: $100,000 – $145,000 CADCompensation is determined by experience, skills, and internal equity, and is part of a comprehensive total rewards package that may include an annual performance-based bonus.Symbiotic Services is proud to represent this opportunity and is committed to delivering a professional, confidential, and inclusive recruitment experience.Senior Software Engineer – AI IISenior Software Engineer – AI IIRecruiter: Symbiotic ServicesRecruiter: Symbiotic Services

Are you passionate about building AI-driven software that transforms how professionals work? Symbiotic Services is recruiting a Senior Software Engineer – AI II for an opportunity with a leading global organization. This role combines innovative, fast-paced engineering with the scale and stability of a large enterprise, focused on delivering AI-powered solutions that modernize tax and accounting workflows through automation and intelligence.

Senior Software Engineer – AI II

About the Role

In this role, you will:

• Design and implement advanced AI systems, including multi-component pipelines, Retrieval-Augmented Generation (RAG) architectures, and custom AI agents

Design and implement advanced AI systems, including multi-component pipelines, Retrieval-Augmented Generation (RAG) architectures, and custom AI agents

• Ensure system quality, reliability, and compliance through strong testing frameworks, monitoring solutions, and responsible AI practices

Ensure system quality, reliability, and compliance through strong testing frameworks, monitoring solutions, and responsible AI practices

• Proactively identify risks and performance issues, making data-driven recommendations and implementing corrective actions

Proactively identify risks and performance issues, making data-driven recommendations and implementing corrective actions

• Collaborate with cross-functional partners across Product, UX, and Data/Science teams to align AI capabilities with business objectives

Collaborate with cross-functional partners across Product, UX, and Data/Science teams to align AI capabilities with business objectives

• Lead and execute proof-of-concepts (POCs) to evaluate emerging technologies and innovative AI use cases

Lead and execute proof-of-concepts (POCs) to evaluate emerging technologies and innovative AI use cases

• Review existing systems and recommend improvements to scalability, performance, and overall architecture

Review existing systems and recommend improvements to scalability, performance, and overall architecture

• Stay current with evolving AI technologies and promote continuous learning and adoption across the team

Stay current with evolving AI technologies and promote continuous learning and adoption across the team

Required Qualifications

• 5+ years of software engineering experience, including 2+ years focused on AI/ML

5+ years of software engineering experience, including 2+ years focused on AI/ML

• Strong proficiency in Python, with experience building web applications, distributed systems, and APIs

Strong proficiency in Python, with experience building web applications, distributed systems, and APIs

• Hands-on experience with AI/ML frameworks such as PyTorch and TensorFlow

Hands-on experience with AI/ML frameworks such as PyTorch and TensorFlow

• Deep understanding of AI systems, including RAG architectures, AI agents, and agent-based systems

Deep understanding of AI systems, including RAG architectures, AI agents, and agent-based systems

• Experience integrating AI models into production environments using APIs and data pipelines

Experience integrating AI models into production environments using APIs and data pipelines

• Familiarity with vector databases, embeddings, and search-based AI solutions

Familiarity with vector databases, embeddings, and search-based AI solutions

• Strong knowledge of machine learning fundamentals, model evaluation, system design, and end-to-end MLOps

Strong knowledge of machine learning fundamentals, model evaluation, system design, and end-to-end MLOps

• A passion for learning new technologies and advancing modern engineering practices

A passion for learning new technologies and advancing modern engineering practices

Preferred Qualifications

• 2–3 years of experience designing, deploying, and operating scalable cloud services using AWS (e.g., Lambda, S3, EC2)

2–3 years of experience designing, deploying, and operating scalable cloud services using AWS (e.g., Lambda, S3, EC2)

What’s in It for You

• Hybrid Work Model: Flexible schedule with a combination of in-office and remote work

Hybrid Work Model: Flexible schedule with a combination of in-office and remote work

Hybrid Work Model:

• Work-Life Balance: Supportive flexibility programs, including work-from-anywhere options for part of the year

Work-Life Balance: Supportive flexibility programs, including work-from-anywhere options for part of the year

Work-Life Balance:

• Career Growth: Strong focus on continuous learning, skill development, and advancement in an AI-driven environment

Career Growth: Strong focus on continuous learning, skill development, and advancement in an AI-driven environment

Career Growth:

• Competitive Benefits: Comprehensive benefits package including flexible vacation, mental health resources, retirement savings, tuition reimbursement, and incentive programs

Competitive Benefits: Comprehensive benefits package including flexible vacation, mental health resources, retirement savings, tuition reimbursement, and incentive programs

Competitive Benefits:

• Inclusive Culture: A collaborative, values-driven workplace committed to inclusion and belonging

Inclusive Culture: A collaborative, values-driven workplace committed to inclusion and belonging

Inclusive Culture:

• Social Impact: Paid volunteer time and opportunities to contribute to community and ESG initiatives

Social Impact: Paid volunteer time and opportunities to contribute to community and ESG initiatives

Social Impact:

Compensation (Ontario, Canada)

• Base Salary Range: $100,000 – $145,000 CAD

Base Salary Range: $100,000 – $145,000 CAD

Base Salary Range:

• Compensation is determined by experience, skills, and internal equity, and is part of a comprehensive total rewards package that may include an annual performance-based bonus.

Compensation is determined by experience, skills, and internal equity, and is part of a comprehensive total rewards package that may include an annual performance-based bonus.

Symbiotic Services is proud to represent this opportunity and is committed to delivering a professional, confidential, and inclusive recruitment experience.

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