We are hiring a Principal GenAI Engineer with strong expertise in LLMs 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
* 8+ years of experience in ML/AI systems
* 2+ years hands-on experience with LLMs (RAG, agents, prompt engineering)
* Robust proficiency in Python, LangChain, LangGraph, and SQL
* Experience deploying GenAI systems on AWS / Azure / GCP
Good to Have - 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
* Experience with Neo4j, Amazon Neptune, or similar graph databases
* Strong hands-on experience with Cypher (or similar graph query languages)