Senior AI Engineer - Agentic & Generative AI

Description Role: Senior AI Engineer - Agentic & Generative AIExperience: 10+ years Education: Graduate - B.Tech/B.E. - Computers, Electronics/Telecommunication;PG - M.Sc. – Computers, M.Tech - Any Specialization, MCA - ComputersLocation: Pune.About SPAR SolutionsSPAR Solutions is a software and AI consulting and services firm delivering enterprise-grade solutions across diverse client industries. Our AI practice spans agentic automation, Generative AI product development, RAG-powered knowledge systems, and data-driven analytics — across the full lifecycle from research and prototyping through production deployment.About the Role: We are looking for a seasoned Software Engineer with hands-on Agentic and Generative AI experience to provide technical leadership on client engagements. This is a hands-on role - you will design solutions, write code, and deliver alongside the team while also setting technical direction, mentoring engineers, and engaging directly with client stakeholders.You will work heavily with AI coding agents to design and deliver solutions, which means strong prompt engineering discipline and the ability to direct AI-assisted development workflows are core to how this role operates. In a consulting environment, adaptability and the ability to bring structure to ambiguous problems are as important as technical depth.Key Responsibilities: Agentic AI Solution Design & DeliveryArchitect and deliver Agentic AI systems - multi-agent orchestration, tool use, memory, planning loops, and MCP integrationsDesign RAG pipelines and agentic workflows tailored to client knowledge and data landscapesLead LLM integration strategy - model selection, prompt engineering, context management, and structured outputs across providersUse AI coding agents (Claude Code, Codex, Copilot, or equivalent) as a primary development tool; direct and validate AI-generated output with precisionTechnical Leadership & Client EngagementProvide technical leadership on engagements - own solution design, drive requirements gathering and analysis, and guide the team through deliveryLead client discovery sessions, technical scoping, and solution presentations; translate ambiguous business problems into well-defined AI solutionsConduct design reviews, enforce engineering standards, and mentor junior and mid-level engineersDrive technology selection; establish reusable patterns and internal frameworks that improve delivery across the teamData, Analytics & EngineeringApply statistical analysis and EDA to client data problems; generate charts, graphs, and visual summaries that communicate findings clearly to both technical and non-technical audiencesContribute to data quality assessment, pipeline design, and insight delivery using Python, numpy, and pandasWrite clean, testable code following SOLID principles and design patterns; apply test-driven development practices and write unit tests as a standard part of deliveryPractice DevelopmentStay current on the Agentic AI landscape and bring relevant advances into SPAR's delivery practiceContribute to internal knowledge assets, accelerators, and capability buildingRequired:10+ years in software engineering with at least 1 year focused on Generative and Agentic AIHands-on experience with at least one agentic framework - LangChain, LangGraph, AutoGen, CrewAI, or equivalentDirect experience prompting and integrating major LLMs - OpenAI, Anthropic Claude, Google Gemini, or similarHands-on use of AI coding agents - Claude Code, OpenAI Codex, GitHub Copilot, or equivalentExperience with MCP integrations, agentic workflows, and multi-agent system designStrong prompt engineering skills - systematic, structured, and testable prompting practicesFoundational understanding of ML concepts - how models are trained, data preparation, purpose and mechanics of fine-tuning, and when to apply pre-trained vs. fine-tuned modelsSystem design proficiency - distributed systems thinking, API design, scalability and reliability patternsApplied statistics and EDA - comfortable with data exploration, distributions, correlation, and translating findings into actionable insightsProficiency with Python, numpy, and pandas; experience with visualization libraries (matplotlib, seaborn, Plotly, or equivalent)Test-driven development practices and unit testing experienceExperience leading technical workstreams or teams on client-facing consulting engagementsExceptional communication - equally effective whether writing a precise technical spec or presenting to a non-technical audienceAgile methodology experience; comfortable owning delivery timelines and managing technical riskHigh adaptability - thrives across client domains and technology stacks; fast, self-directed learnerDesired:Conversational AI and chatbot design experienceHands-on experience with data analytics and data science tooling beyond EDADeeper ML experience - has built, trained, and evaluated models beyond conceptual understandingTransformer architecture depth - model behavior, failure modes, tokenization, and fine-tuning tradeoffsMLOps and model lifecycle management - experiment tracking, deployment pipelines, monitoringMulti-modal AI, knowledge graph construction, or domain-specific model adaptationWhy SPAR SolutionsDirect exposure to high-impact enterprise problems across industries Hands-on technical role with real leadership influence - you design, build, and set directionA fast-moving team where intellectual rigor and ownership are valued over hierarchyOpportunity to shape SPAR's AI practice - the frameworks and standards you establish become the team's foundationCompensation competitive with the current marketContact Details:Talent Acquisition TeamHR Department / SPAR SolutionsAddress: SPAR Solutions India Pvt. Ltd.Pune IT Park, B-503, Bhau Patil Marg, 34 Aundh Road,Bopodi, Pune, Maharashtra, India.Pin Code: 411020.Website: sparsolutions.comLinkedIn: https://www.linkedin.com/company/spar-solutions-llcTwitter: https://twitter.com/sparsolutionsFacebook: https://www.facebook.com/SPARsolutionsDescription Role: Senior AI Engineer - Agentic & Generative AIExperience: 10+ years Education: Graduate - B.Tech/B.E. - Computers, Electronics/Telecommunication;PG - M.Sc. – Computers, M.Tech - Any Specialization, MCA - ComputersLocation: Pune.About SPAR SolutionsSPAR Solutions is a software and AI consulting and services firm delivering enterprise-grade solutions across diverse client industries. Our AI practice spans agentic automation, Generative AI product development, RAG-powered knowledge systems, and data-driven analytics — across the full lifecycle from research and prototyping through production deployment.About the Role: We are looking for a seasoned Software Engineer with hands-on Agentic and Generative AI experience to provide technical leadership on client engagements. This is a hands-on role - you will design solutions, write code, and deliver alongside the team while also setting technical direction, mentoring engineers, and engaging directly with client stakeholders.You will work heavily with AI coding agents to design and deliver solutions, which means strong prompt engineering discipline and the ability to direct AI-assisted development workflows are core to how this role operates. In a consulting environment, adaptability and the ability to bring structure to ambiguous problems are as important as technical depth.Key Responsibilities: Agentic AI Solution Design & DeliveryArchitect and deliver Agentic AI systems - multi-agent orchestration, tool use, memory, planning loops, and MCP integrationsDesign RAG pipelines and agentic workflows tailored to client knowledge and data landscapesLead LLM integration strategy - model selection, prompt engineering, context management, and structured outputs across providersUse AI coding agents (Claude Code, Codex, Copilot, or equivalent) as a primary development tool; direct and validate AI-generated output with precisionTechnical Leadership & Client EngagementProvide technical leadership on engagements - own solution design, drive requirements gathering and analysis, and guide the team through deliveryLead client discovery sessions, technical scoping, and solution presentations; translate ambiguous business problems into well-defined AI solutionsConduct design reviews, enforce engineering standards, and mentor junior and mid-level engineersDrive technology selection; establish reusable patterns and internal frameworks that improve delivery across the teamData, Analytics & EngineeringApply statistical analysis and EDA to client data problems; generate charts, graphs, and visual summaries that communicate findings clearly to both technical and non-technical audiencesContribute to data quality assessment, pipeline design, and insight delivery using Python, numpy, and pandasWrite clean, testable code following SOLID principles and design patterns; apply test-driven development practices and write unit tests as a standard part of deliveryPractice DevelopmentStay current on the Agentic AI landscape and bring relevant advances into SPAR's delivery practiceContribute to internal knowledge assets, accelerators, and capability buildingRequired:10+ years in software engineering with at least 1 year focused on Generative and Agentic AIHands-on experience with at least one agentic framework - LangChain, LangGraph, AutoGen, CrewAI, or equivalentDirect experience prompting and integrating major LLMs - OpenAI, Anthropic Claude, Google Gemini, or similarHands-on use of AI coding agents - Claude Code, OpenAI Codex, GitHub Copilot, or equivalentExperience with MCP integrations, agentic workflows, and multi-agent system designStrong prompt engineering skills - systematic, structured, and testable prompting practicesFoundational understanding of ML concepts - how models are trained, data preparation, purpose and mechanics of fine-tuning, and when to apply pre-trained vs. fine-tuned modelsSystem design proficiency - distributed systems thinking, API design, scalability and reliability patternsApplied statistics and EDA - comfortable with data exploration, distributions, correlation, and translating findings into actionable insightsProficiency with Python, numpy, and pandas; experience with visualization libraries (matplotlib, seaborn, Plotly, or equivalent)Test-driven development practices and unit testing experienceExperience leading technical workstreams or teams on client-facing consulting engagementsExceptional communication - equally effective whether writing a precise technical spec or presenting to a non-technical audienceAgile methodology experience; comfortable owning delivery timelines and managing technical riskHigh adaptability - thrives across client domains and technology stacks; fast, self-directed learnerDesired:Conversational AI and chatbot design experienceHands-on experience with data analytics and data science tooling beyond EDADeeper ML experience - has built, trained, and evaluated models beyond conceptual understandingTransformer architecture depth - model behavior, failure modes, tokenization, and fine-tuning tradeoffsMLOps and model lifecycle management - experiment tracking, deployment pipelines, monitoringMulti-modal AI, knowledge graph construction, or domain-specific model adaptationWhy SPAR SolutionsDirect exposure to high-impact enterprise problems across industries Hands-on technical role with real leadership influence - you design, build, and set directionA fast-moving team where intellectual rigor and ownership are valued over hierarchyOpportunity to shape SPAR's AI practice - the frameworks and standards you establish become the team's foundationCompensation competitive with the current marketContact Details:Talent Acquisition TeamHR Department / SPAR SolutionsAddress: SPAR Solutions India Pvt. Ltd.Pune IT Park, B-503, Bhau Patil Marg, 34 Aundh Road,Bopodi, Pune, Maharashtra, India.Pin Code: 411020.Website: sparsolutions.comLinkedIn: https://www.linkedin.com/company/spar-solutions-llcTwitter: https://twitter.com/sparsolutionsFacebook: https://www.facebook.com/SPARsolutionsDescription Role: Senior AI Engineer - Agentic & Generative AIExperience: 10+ years Education: Graduate - B.Tech/B.E. - Computers, Electronics/Telecommunication;PG - M.Sc. – Computers, M.Tech - Any Specialization, MCA - ComputersLocation: Pune.About SPAR SolutionsSPAR Solutions is a software and AI consulting and services firm delivering enterprise-grade solutions across diverse client industries. Our AI practice spans agentic automation, Generative AI product development, RAG-powered knowledge systems, and data-driven analytics — across the full lifecycle from research and prototyping through production deployment.About the Role: We are looking for a seasoned Software Engineer with hands-on Agentic and Generative AI experience to provide technical leadership on client engagements. This is a hands-on role - you will design solutions, write code, and deliver alongside the team while also setting technical direction, mentoring engineers, and engaging directly with client stakeholders.You will work heavily with AI coding agents to design and deliver solutions, which means strong prompt engineering discipline and the ability to direct AI-assisted development workflows are core to how this role operates. In a consulting environment, adaptability and the ability to bring structure to ambiguous problems are as important as technical depth.Key Responsibilities: Agentic AI Solution Design & DeliveryArchitect and deliver Agentic AI systems - multi-agent orchestration, tool use, memory, planning loops, and MCP integrationsDesign RAG pipelines and agentic workflows tailored to client knowledge and data landscapesLead LLM integration strategy - model selection, prompt engineering, context management, and structured outputs across providersUse AI coding agents (Claude Code, Codex, Copilot, or equivalent) as a primary development tool; direct and validate AI-generated output with precisionTechnical Leadership & Client EngagementProvide technical leadership on engagements - own solution design, drive requirements gathering and analysis, and guide the team through deliveryLead client discovery sessions, technical scoping, and solution presentations; translate ambiguous business problems into well-defined AI solutionsConduct design reviews, enforce engineering standards, and mentor junior and mid-level engineersDrive technology selection; establish reusable patterns and internal frameworks that improve delivery across the teamData, Analytics & EngineeringApply statistical analysis and EDA to client data problems; generate charts, graphs, and visual summaries that communicate findings clearly to both technical and non-technical audiencesContribute to data quality assessment, pipeline design, and insight delivery using Python, numpy, and pandasWrite clean, testable code following SOLID principles and design patterns; apply test-driven development practices and write unit tests as a standard part of deliveryPractice DevelopmentStay current on the Agentic AI landscape and bring relevant advances into SPAR's delivery practiceContribute to internal knowledge assets, accelerators, and capability buildingRequired:10+ years in software engineering with at least 1 year focused on Generative and Agentic AIHands-on experience with at least one agentic framework - LangChain, LangGraph, AutoGen, CrewAI, or equivalentDirect experience prompting and integrating major LLMs - OpenAI, Anthropic Claude, Google Gemini, or similarHands-on use of AI coding agents - Claude Code, OpenAI Codex, GitHub Copilot, or equivalentExperience with MCP integrations, agentic workflows, and multi-agent system designStrong prompt engineering skills - systematic, structured, and testable prompting practicesFoundational understanding of ML concepts - how models are trained, data preparation, purpose and mechanics of fine-tuning, and when to apply pre-trained vs. fine-tuned modelsSystem design proficiency - distributed systems thinking, API design, scalability and reliability patternsApplied statistics and EDA - comfortable with data exploration, distributions, correlation, and translating findings into actionable insightsProficiency with Python, numpy, and pandas; experience with visualization libraries (matplotlib, seaborn, Plotly, or equivalent)Test-driven development practices and unit testing experienceExperience leading technical workstreams or teams on client-facing consulting engagementsExceptional communication - equally effective whether writing a precise technical spec or presenting to a non-technical audienceAgile methodology experience; comfortable owning delivery timelines and managing technical riskHigh adaptability - thrives across client domains and technology stacks; fast, self-directed learnerDesired:Conversational AI and chatbot design experienceHands-on experience with data analytics and data science tooling beyond EDADeeper ML experience - has built, trained, and evaluated models beyond conceptual understandingTransformer architecture depth - model behavior, failure modes, tokenization, and fine-tuning tradeoffsMLOps and model lifecycle management - experiment tracking, deployment pipelines, monitoringMulti-modal AI, knowledge graph construction, or domain-specific model adaptationWhy SPAR SolutionsDirect exposure to high-impact enterprise problems across industries Hands-on technical role with real leadership influence - you design, build, and set directionA fast-moving team where intellectual rigor and ownership are valued over hierarchyOpportunity to shape SPAR's AI practice - the frameworks and standards you establish become the team's foundationCompensation competitive with the current marketContact Details:Talent Acquisition TeamHR Department / SPAR SolutionsAddress: SPAR Solutions India Pvt. Ltd.Pune IT Park, B-503, Bhau Patil Marg, 34 Aundh Road,Bopodi, Pune, Maharashtra, India.Pin Code: 411020.Website: sparsolutions.comLinkedIn: https://www.linkedin.com/company/spar-solutions-llcTwitter: https://twitter.com/sparsolutionsFacebook: https://www.facebook.com/SPARsolutions