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Overnight Knowledge Graph Software Engineer Jobs in New York

AI Engineer (US)

New York, NY · On-site

$114K - $157K/yr

... knowledge graph-based retrieval (e.g., Neo4j, Microsoft GraphRAG) and vector databases (Pinecone, Weaviate, Qdrant, etc.). * Proficiency in Python and solid software engineering fundamentals: APIs ...

* Senior Software Engineer - Generative AI (Applied AI & Engineering) * New York City (Hybrid - 3 ... search, knowledge graph integration, and advanced reranking. * Develop and orchestrate complex ...

Showing results 21-40

Overnight Knowledge Graph Software Engineer information

What is the difference between Overnight Knowledge Graph Software Engineer vs Data Engineer?

AspectOvernight Knowledge Graph Software EngineerData Engineer
CredentialsBachelor's or higher in CS, experience with graph databasesBachelor's or higher in CS, experience with data pipelines
Work EnvironmentDeveloping and maintaining knowledge graph systems overnightBuilding and managing data pipelines during regular hours
Industry UsageTech, AI, knowledge management companiesFinance, tech, healthcare, and data-driven industries

The Overnight Knowledge Graph Software Engineer focuses on developing and maintaining knowledge graph systems during overnight shifts, often working with graph databases and semantic data. In contrast, Data Engineers build and manage data pipelines and infrastructure during regular hours. Both roles require strong technical skills, but their focus areas and work schedules differ significantly.

What cities in New York are hiring for Overnight Knowledge Graph Software Engineer jobs?

Cities in New York with the most Overnight Knowledge Graph Software Engineer job openings:

Principal GenAI Engineer- Knowledge Graph & Semantic Systems

SWITS DIGITAL Private Limited

New York, NY • On-site

Full-time

Re-posted 15 days ago


Job description

Title Principal GenAI Engineer with Graph and Semantic Systems
Location New York City NY Remote
About the Role
The Client is 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 Are Looking For
10 plus years of experience in ML AI systems
2 plus years hands on experience with LLMs RAG agents prompt engineering
5 plus years of production e