About the role

Job Title

Agentic / Generative AI Engineer (LLM Engineer / GenAI Engineer)

Location

Pune / Gurgaon (Gurugram) / Bangalore (Hybrid)

About EXL

EXL has evolved from business process services into a global leader in Data and AI, partnering across industries such as insurance, healthcare, banking & capital markets, retail, media & communications, and energy & infrastructure.

Job Summary

We are looking for highly capable Agentic / Generative AI Engineers to design, build, and deploy LLM-powered and agentic systems for enterprise use cases—such as knowledge assistants, document automation, summarisation, and intelligent workflow orchestration. You will work closely with data engineers, data scientists, MLOps, and product teams to deliver secure, scalable, and measurable GenAI solutions.

Mandatory: Prior experience in Data Engineering or Data Science (strong foundations in data pipelines, ML lifecycle, or analytics engineering).

Key Responsibilities

Design and build agentic LLM solutions (single- and multi-agent patterns) to solve real business problems across domains (e.g., customer support, document intelligence, knowledge retrieval).
Build RAG pipelines end-to-end: data ingestion → chunking/embeddings → vector search → retrieval orchestration → response synthesis, with measurable quality.
Implement prompt engineering and prompt orchestration (prompt chains, tool-calling, function calling), including prompt iteration and cost/latency optimisation.
Develop production services/APIs for LLM applications (e.g., FastAPI/Flask/Streamlit) and integrate with enterprise systems and data sources.
Apply guardrails to reduce hallucinations, enforce policy constraints, and ensure safe tool usage; implement evaluation strategies for LLM and RAG outputs.
Collaborate with Data Engineering teams to ensure data quality, governance, and documentation standards, and with MLOps/Platform teams for CI/CD, monitoring, and reliable deployments.
Create and maintain technical documentation, solution design artefacts, and reusable components for faster delivery and consistent engineering practices.

Must-Have Skills

5 to 12 years total experience, with hands-on LLM/GenAI delivery experience (preferably 1–3+ years building production-grade LLM apps).

LLM / GenAI & Agentic Engineering

Hands-on experience with LLMs including Claude (Anthropic) and other leading models; strong understanding of capabilities, limitations, and use-case fit.
Practical experience with RAG, embeddings, vector databases (e.g., FAISS/Pinecone/ChromaDB), semantic search, and retrieval quality evaluation.
Experience with frameworks/tools such as LangChain, LangGraph, Hugging Face, or equivalent orchestration stacks.
Experience building agentic workflows including tool calling/function calling; familiarity with “agentic architecture” concepts is valued.