Principal GenAI Engineer – Knowledge Graph & Semantic Systems

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