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.
Responsibilities:
- Build hybrid retrieval systems combining Knowledge Graphs + vector databases.
- Integrate structured graph reasoning with LLMs to reduce hallucination and improve explainability.
- Design and scale enterprise Knowledge Graph architectures.
- Develop ontologies, taxonomies, and semantic data models.
- Implement entity resolution, relationship extraction, and graph enrichment.
Requirements:
- 8-13 years of experience in ML/AI systems.
- 2+ years of 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.
- Experience with Neo4j, Amazon Neptune, or similar graph databases.
- Strong hands-on experience with Cypher (or similar graph query languages).