AI Engineering Lead

About the Role: Were looking for a hands-on Generative AI Architect who combines deep technical expertise with strategic vision. Youll lead the design and implementation of GenAI solutions that solve complex business challenges from ideation to deployment. This role demands someone who can both think big and build fast. Key Responsibilities: Architect and implement end-to-end GenAI solutions using LLMs, RAG, vector databases, and multi-agent workflows. Collaborate with cross-functional teams to

Role: Principal GenAI Engineer Knowledge Graph & Semantic Systems Location: NYC Job Type: Full Time Employment Work Type: Onsite About the RoleTuring 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-grad

What Were Looking For10+ 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 ExpertiseDesign and scale enterprise Knowledge Graph architectures Develop ontologies, taxonomies, and semantic data models Implement entity r

Overview We are seeking a Senior Python Backend-Heavy Full Stack AI Engineer with hands-on experience in LangGraph and agentic AI systems. This role focuses on building production-grade AI agents and workflows on top of enterprise datasets and internal applications. The ideal candidate is execution-focused, experienced, and capable of delivering immediate impact. Core Responsibilities Build and deploy AI agents using LangGraph Develop backend-heavy AI solutions using Python + FastAPI Impleme