GenAI / RAG Engineer

Experience: 6+ years (4+ years hands-on in GenAI/LLM applications)

Location: Chennai / Gurgaon

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What you'll build

Design, build, and scale production-grade AI systems for enterprise document intelligence and conversational analytics. The role involves building retrieval pipelines, multi-agent workflows, and production safeguards that ensure accurate, explainable, and reliable AI outputs in high-stakes enterprise contexts.

What you'll own
End-to-end RAG pipelines: ingestion, chunking, embeddings,



hybrid retrieval, and reranking
Multi-agent workflows for validation, routing, and human-in-the-loop review
Natural-language-to-query for analytics over enterprise data
Failure handling: detecting low-confidence or no-match retrieval and escalating instead of hallucinating
Evaluation (precision/recall, faithfulness, groundedness) on real annotated data

Must have
Python, FastAPI, REST APIs
RAG in production, not just POCs
Azure AI Search, AWS OpenSearch, or equivalent
LangChain/LangGraph or similar orchestration
Experience with enterprise documents

Valuable to have
Document comparison or analysis systems
Human-in-the-loop and escalation design
LLM cost and latency optimization

📌 Generative Ai Engineer Chennai
🏢 Infotech Global
📍 Chennai