Principal GenAI Engineer.

Principal GenAI Engineer – Knowledge Graph & Semantic Systems

Onsite – NYC | Full-Time | Senior / Principal Level Work Authorization (Must Have)

✅ US Citizens ✅ Green Card Holders ✅ H1B Transfer Candidates ❌ No OPT/CPT About the Role

Turing is hiring a Principal GenAI Engineer with strong expertise in LLMs, Knowledge Graphs, and Semantic Systems to lead enterprise AI initiatives for Fortune 500 clients. This role focuses on building Graph-powered RAG (Graph-RAG) solutions that combine structured semantic reasoning with advanced LLM architectures to deliver scalable, explainable, and production-grade AI systems. What We’re Looking For

✔ 10+ years of experience in AI/ML systems ✔ 2+ years of hands-on experience with LLMs (RAG, AI Agents, Prompt Engineering) ✔ 5+ years of production experience with Knowledge Graphs ✔ Strong expertise in Python, LangChain/LangGraph, SQL ✔ Experience deploying GenAI applications 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 ✔ Hands-on experience with Neo4j, Amazon Neptune, or similar graph databases ✔ Strong experience with Cypher (or related graph query languages) ✔ Build hybrid retrieval systems combining Knowledge Graphs + Vector Databases ✔ Integrate graph reasoning with LLMs to improve explainability and reduce hallucinations Why Join?

Work on enterprise-scale GenAI & Graph-RAG systems Partner with leading Fortune 500 organizations Drive innovation in semantic AI, LLM orchestration, and explainable GenAI Opportunity to work at a Principal / Leadership level in cutting-edge AI engineering