What are the responsibilities and job description for the Principal GenAI Engineer – Knowledge Graph & Semantic Systems position at SWITS DIGITAL Private Limited?
Role: Principal GenAI Engineer – Knowledge Graph & Semantic Systems
Location: Onsite – NYC
Job Type: Full-Time
About The Role
We are 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 We’re Looking For
Location: Onsite – NYC
Job Type: Full-Time
About The Role
We are 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 We’re Looking For
- 14 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 / GCP
- 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