Principal GenAI Engineer (Gurugram)

Location: Onsite – Gurugram
Employment Type: Full Time
Experience Level: Senior (8–14 years)

Principal GenAI Engineer – Knowledge Graph & Semantic Systems

About Turing

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: working with the world’s leading AI labs to advance frontier model capabilities and leveraging that work to build real-world AI systems that solve mission-critical business problems.

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

• 8-13 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

About Turing

Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. They connect elite AI professionals with frontier model training projects, offering competitive compensation for domain expertise across coding, STEM, creative writing, and more.

How To Apply

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