Principal GenAI Engineer – Knowledge Graph & Semantic Systems
Onsite – NYC | Full-Time | Senior / Principal Level
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 / Google Cloud Platform
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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