Principal GenAI Engineer Knowledge Graph & Semantic Systems {F2F Interview}

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

About the Role Turing 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-grade AI solutions. What Were Looking For 10+ years of experience in ML/AI systems2+ years hands-on experience with LLMs (RAG, agents

Greetings! This is Anupam from Last Word Consulting Inc. found your profile on the job portal. Please share your updated resume if available and interested. Please let me know if you are comfortable . Job:- Gen AI Engineer Location:- NYC, NY (Onsite/Hybrid) Type:- Full Time role Required skills 8+ years of professional experience in building Machine Learning models & systems for Sr GenAI Engineer and 10+ years for Staff GenAI Engineer 1+ years of hands-on experience in how LLMs work & Genera

About the Role: Grade Level (for internal use): 12 About the Role: We are seeking an exceptional Principal Machine Learning Engineer to join our organization at the forefront of applied AI. This is a senior individual contributor role designed for a practitioner who is equally at home architecting large-scale LLM infrastructure, building scalable python backend APIs, and driving organization wide AI transformation. You will be designing and delivering Generative AI and Agentic AI systems, sett