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About the role
Location: Onsite at Bengaluru- 3 Days WFO Employment Type: Full Time Experience Level: Principal About the Role: Turing is hiring a Principal GenAI Engineer with strong expertise in LLMs and Knowledge Graphs 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: 10+ years of experience in ML/AI systems 2+ years hands-on experience with LLMs (RAG, agents, prompt engineering) 5+ years of production experience working with Knowledge Graphs Strong proficiency in Python, LangChain, LangGraph, and SQL Experience deploying GenAI systems on AWS / Azure / GCP Mandatory 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 Strong 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
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