Principal Gen AI Engineer

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).