Key Responsibilities
- Solution Architecture & Technical Leadership
- Architect enterprise-grade agentic and LLM solutions (single-agent, multi-agent, tool-driven workflows)
- Define scalable GenAI system design patterns (RAG, orchestration layers, evaluation frameworks)
- Act as the technical anchor for GenAI initiatives across projects
- Drive design reviews, architecture governance, and best practices
- Agentic AI & LLM Engineering
- Design and build agentic systems using LLMs for use cases such as: - Knowledge assistants
- Document automation & intelligence
- Workflow orchestration
- Implement advanced prompt engineering strategies, prompt orchestration, and reasoning chains
- Build tool-calling / function-calling frameworks for agent workflows
- RAG & Retrieval Systems
- Lead end-to-end implementation of RAG pipelines: - Data ingestion → chunking → embeddings → vector indexing → retrieval → response generation
- Optimise retrieval quality (recall, relevance, grounding)
- Evaluate and benchmark different architectures
- Productisation & Engineering Excellence
- Develop production-grade APIs/services (FastAPI, Flask, etc.)
- Drive code quality, testing standards, and reusable architecture components
- Ensure solutions are performance optimised (latency, cost, reliability)
- Governance, Safety & Evaluation
- Implement LLM guardrails: - Hallucination control
- Safety filters
- Policy enforcement
- Define evaluation frameworks: - Response quality metrics
- RAG benchmarking
- Human-in-the-loop validation
- Collaboration & Delivery Leadership
- Partner with: - Data Engineering → pipelines, data quality, governance
- MLOps → deployment, CI/CD, monitoring
- Business/Product → use-case alignment
- Drive end-to-end delivery ownership across multiple projects
- Technical Leadership Responsibilities (Critical Addition)
- Mentor and guide junior engineers and project teams
- Conduct technical reviews, solution walkthroughs, and code reviews
- Support pre-sales / RFPs / solut
📌 Lead AI Data Engineer (Gurugram)
🏢 EXL
📍 Gurugram