Generative AI Engineer

GenAI / RAG Engineer

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

Location: Chennai / Gurgaon

Read this first!

1. Bring your experience, not your bot/AI tools to virtual interviews. Our process is built to spot the difference. Be authentic, we value that!
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3. Lack of seriousness or commitment? Give way to candidates genuinely interested in long‑term growth and contribution please!

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

Good to have

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