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