Ampstek
Principal GenAI Engineer – Knowledge Graph & Semantic Systems -USC/GC Only Full Time
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal GenAI Engineer in New York City, requiring 10+ years in ML/AI, 5+ years with Knowledge Graphs, and 2+ years with LLMs. Pay rate and contract length exceed 6 months. Proficiency in Python and cloud platforms is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 5, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Langchain #Amazon Neptune #AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #Neo4J #Azure #Databases #GCP (Google Cloud Platform) #SQL (Structured Query Language) #Graph Databases #Knowledge Graph #ML (Machine Learning) #Scala #Python #AWS (Amazon Web Services)
Role description
Role: Principal GenAI Engineer – Knowledge Graph & Semantic Systems
Location: New York City, NY(Onsite)
Job Type: Full Time
Job Description:
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
• 10+ 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
Mandatory 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
Thanks and regards,
Deepa Maurya | Technical Recruiter - US Staffing
Email: deepa.m@ampstek.com | Desk: (609) 527-8971
Ampstek LLC – Global IT Partner | www.ampstek.com
Role: Principal GenAI Engineer – Knowledge Graph & Semantic Systems
Location: New York City, NY(Onsite)
Job Type: Full Time
Job Description:
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
• 10+ 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
Mandatory 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
Thanks and regards,
Deepa Maurya | Technical Recruiter - US Staffing
Email: deepa.m@ampstek.com | Desk: (609) 527-8971
Ampstek LLC – Global IT Partner | www.ampstek.com
