Role Overview
We are hiring Lead Agentic / Generative AI Engineers (9–12 years) to architect and deliver enterprise-grade LLM-powered and agentic systems at scale.
This is a hands-on technical leadership role requiring:
Deep expertise in LLMs, RAG, and agentic architectures
Solid foundation in Data Engineering / Data Science
Ability to lead solution design, mentor teams, and drive end-to-end delivery
You will partner with cross-functional teams (Data Engineering, Data Science, MLOps, Product) to build secure, scalable, and measurable GenAI solutions, while also owning technical direction and best practices.
Key Responsibilities
1. 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
2. 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
3. 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
4. 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)
5. Governance, Safety & Evaluation
Implement LLM guardrails:
Hallucination control
Safety filters
Policy enforcement
📌 Lead AI Data Engineer (Noida)
🏢 EXL
📍 Noida