

Jobs via Dice
Principal GenAI Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal GenAI Engineer in NYC, NY, focusing on LLMs and Knowledge Graphs. Requires 10+ years in ML/AI, 5+ years with Knowledge Graphs, and strong Python and SQL skills. Full-time position, expected duration over 6 months.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
March 18, 2026
π - Duration
More than 6 months
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
New York, NY
-
π§ - Skills detailed
#AI (Artificial Intelligence) #Graph Databases #Azure #GCP (Google Cloud Platform) #ML (Machine Learning) #Cloud #Neo4J #Langchain #Python #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #Knowledge Graph #Amazon Neptune #Scala #SQL (Structured Query Language) #Databases
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Infojini, is seeking the following. Apply via Dice today!
Role: Principal GenAI Engineer β Knowledge Graph & Semantic Systems
Location: Onsite β NYC, NY
Hire Type: Full Time (No Contract)
About The Role
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 Weβre Looking For
β’ 10+ years of experience in ML/AI systems
β’ 2+ years hands-on experience with LLMs (RAG, agents, prompt engineering)
β’ 5+ years of production experience working with Knowledge Graphs
β’ Strong proficiency in Python, LangChain/LangGraph, and SQL
β’ Experience deploying GenAI systems on AWS / Azure / Google Cloud Platform
Mandatory Knowledge Graph Expertise
β’ Design and scale enterprise Knowledge Graph architectures
β’ Develop ontologies, taxonomies, and semantic data models
β’ Implement entity resolution, relationship extraction, and graph enrichment
β’ Experience with Neo4j, Amazon Neptune, or similar graph databases
β’ Strong hands-on experience with Cypher (or similar graph query languages)
β’ Build hybrid retrieval systems combining Knowledge Graphs + vector databases
Integrate structured graph reasoning with LLMs to reduce hallucination and improve explainability
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Infojini, is seeking the following. Apply via Dice today!
Role: Principal GenAI Engineer β Knowledge Graph & Semantic Systems
Location: Onsite β NYC, NY
Hire Type: Full Time (No Contract)
About The Role
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 Weβre Looking For
β’ 10+ years of experience in ML/AI systems
β’ 2+ years hands-on experience with LLMs (RAG, agents, prompt engineering)
β’ 5+ years of production experience working with Knowledge Graphs
β’ Strong proficiency in Python, LangChain/LangGraph, and SQL
β’ Experience deploying GenAI systems on AWS / Azure / Google Cloud Platform
Mandatory Knowledge Graph Expertise
β’ Design and scale enterprise Knowledge Graph architectures
β’ Develop ontologies, taxonomies, and semantic data models
β’ Implement entity resolution, relationship extraction, and graph enrichment
β’ Experience with Neo4j, Amazon Neptune, or similar graph databases
β’ Strong hands-on experience with Cypher (or similar graph query languages)
β’ Build hybrid retrieval systems combining Knowledge Graphs + vector databases
Integrate structured graph reasoning with LLMs to reduce hallucination and improve explainability






