Senior AI Engineer - Agentic & Generative AI
$150,000–$250,000 year
HybridPune, Maharashtra, India
Job Summary
Architect and deliver Agentic AI systems featuring multi-agent orchestration, tool use, and memory loops while designing RAG pipelines tailored to client knowledge landscapes. Lead LLM integration strategy, select models, and enforce prompt engineering discipline to direct AI-assisted development workflows using agents like Claude Code or Copilot. Provide technical leadership on engagements by driving requirements gathering, conducting design reviews, and mentoring engineers while translating ambiguous business problems into well-defined AI solutions. Apply statistical analysis and EDA to client data problems, generating visual summaries and contributing to pipeline design using Python, numpy, and pandas. Write clean, testable code following SOLID principles and design patterns with unit testing as a standard delivery practice.
Required Qualifications
- 10+ years in software engineering
- at least 1 year focused on Generative and Agentic AI
- Hands-on experience with at least one agentic framework - LangChain, LangGraph, AutoGen, CrewAI, or equivalent
- Direct experience prompting and integrating major LLMs - OpenAI, Anthropic Claude, Google Gemini, or similar
- Hands-on use of AI coding agents - Claude Code, OpenAI Codex, GitHub Copilot, or equivalent
- Experience with MCP integrations, agentic workflows, and multi-agent system design
- Strong prompt engineering skills - systematic, structured, and testable prompting practices
- Foundational 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 models
- System design proficiency - distributed systems thinking, API design, scalability and reliability patterns
- Applied statistics and EDA - comfortable with data exploration, distributions, correlation, and translating findings into actionable insights
- Proficiency with Python, numpy, and pandas
- experience with visualization libraries (matplotlib, seaborn, Plotly, or equivalent)
- Test-driven development practices and unit testing experience
- Experience leading technical workstreams or teams on client-facing consulting engagements
- Exceptional communication - equally effective whether writing a precise technical spec or presenting to a non-technical audience
- Agile methodology experience
- comfortable owning delivery timelines and managing technical risk
- High adaptability - thrives across client domains and technology stacks; fast, self-directed learner
- Graduate - B.Tech/B.E. - Computers, Electronics/Telecommunication
- PG - M.Sc. – Computers, M.Tech - Any Specialization, MCA - Computers
Desired Qualifications
- Conversational AI and chatbot design experience
- Hands-on experience with data analytics and data science tooling beyond EDA
- Deeper ML experience - has built, trained, and evaluated models beyond conceptual understanding
- Transformer architecture depth - model behavior, failure modes, tokenization, and fine-tuning tradeoffs
- MLOps and model lifecycle management - experiment tracking, deployment pipelines, monitoring
- Multi-modal AI, knowledge graph construction, or domain-specific model adaptation
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