Principal Engineer, Valuations (GenAI / AI Engineering)

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 We’re Looking For

·       8-13 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 / Google Cloud Platform

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)

·       Build hybrid retrieval systems combining Knowledge Graphs vector databases

·       Integrate structured graph reasoning with LLMs to reduce hallucination and improve explainability

Salary : $200 - $250