Build enterprise-scale AI systems using LangGraph and LLMs for clients.

Principal GenAI Engineer – LangGraph & Semantic Systems

Location: Onsite – New York City

Employment Type: Full Time

Experience Level: Senior

About Turing

Based in Palo Alto, California, Turing is the world’s first AI-powered tech services company. It has reimagined tech services from the ground up with AI by offering AI-vetted and matched talent, AI-accelerated development, and access to AI transformation experts who have built many of the most iconic Silicon Valley companies.

Founded in 2018, the company has experienced tremendous growth with over two million global developers on its Talent Cloud and 900+ clients. Turing has received numerous awards, including Forbes’s “One of America’s Best Startup Employers” and recognition from The Information and Fast Company as one of the most innovative companies globally.

About the Role

Turing is hiring a Principal GenAI Engineer with strong expertise in LLMs and LangGraph 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)
• Strong proficiency in Python, LangChain/LangGraph, and SQL
• Experience deploying GenAI systems on AWS / Azure / GCP

Mandatory LangChain/LangGraph Expertise

• Design and scale enterprise LangGraph architectures
• Develop ontologies, taxonomies, and semantic data models
• Implement entity resolution, relationship extraction, and graph enrichment
• 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

Vetting flow:

• 1 Hour technical Discussion (Turing internal)
• 30 minutes technical Delivery connect (Turing internal)
• 30 minutes Delivery connect (Turing internal)
• Possible 1 Hour in person Customer round of interview at NYC, NY (Not confirmed)