About the Role Turing is hiring a Principal GenAI Engineer with strong expertise in LLMs to lead enterprise-scale AI implementations for Fortune 500 clients. This role focuses on building Graph-powered RAG systems (Graph-RAG) that combine structured semantic reasoning with advanced LLM architectures to deliver scalable, explainable, production-grade AI solutions.

What We're Looking For

- 8-13 years of experience in ML/AI systems.
- 2+ years hands-on experience with LLMs (RAG, agents, prompt engineering).
- Strong proficiency in Python, LangChain, LangGraph, and SQL.
- Experience deploying GenAI systems on AWS / Azure / GCP.

Good to Have – Knowledge Graph Expertise

Design and scale enterprise Knowledge Graph architectures.

Develop ontologies, taxonomies,



and semantic data models.

Implement entity resolution, relationship extraction, and graph enrichment.

Experience with Neo4j, Amazon Neptune, or similar graph databases.

Robust hands-on experience with Cypher (or similar graph query languages).

Build hybrid retrieval systems combining Knowledge Graphs + vector databases.

Integrate structured graph reasoning with LLMs to reduce hallucination and improve explainability.

Location: Bengaluru – 3 Days WFO

Employment Type: Full Time

Experience Level: Principal (8–14 years)

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