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Full Time Knowledge Graph Jobs (NOW HIRING)

Cupertino, CA (onsite) Job Type: Full time • Strong experience with Large Language Models (LLMs ... and knowledge graph integrations • Ensure code quality, scalability, and reliability in ...

Neo 4J Software Development Lead

Pittsburgh, PA · On-site

$112.60K - $141.30K/yr

J0526-2313 Employment Type: Full Time Position Description: CGI is looking for an experienced Neo ... At least 8+ years of overall experience in designing and developing Neo4j-based Knowledge Graph and ...

... knowledge repository Your contribution to the team: • An agile mindset with effective ... Benefits Along with competitive pay, as a full-time Infosys employee you are also eligible for the ...

Our platform is built on a Computational Knowledge Graph foundation that contextualizes and ... S. full-time employees -- we'd love to connect and share more! * Evolving culture with the ...

... graph databases such as Neo4j or RDF stores • Working knowledge of semantic web standards ... S. security clearance preferred • Up to 10% travel may be required • This is a full-time onsite ...

... knowledge repository Your contribution to the team: • An agile mindset with effective ... full-time Infosys employee you are also eligible for the following benefits: * Medical/Dental ...

Our platform is built on a Computational Knowledge Graph foundation that contextualizes and ... S. full-time employees -- we'd love to connect and share more! * Evolving culture with the ...

The Content Knowledge Graph team within Data Science & Engineering equips scientists, engineers ... Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation ...

The Content Knowledge Graph team within Data Science & Engineering equips scientists, engineers ... Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation ...

This role is a full-time position located out of our office in Pittsburgh, PA. This role may ... Hands-on experience with ontology editors (e.g., Protégé, TopBraid) and graph databases (e.g ...

You will lead the design of a knowledge graph to link diverse data sources, including high-content ... Experience with multi-modal datasets Employment Type: FULL_TIME

This role is a full-time position located out of our office in Pittsburgh, PA. This role may ... Hands-on experience with ontology editors (e.g., Protégé, TopBraid) and graph databases (e.g ...

Data Engineer - AI

Dallas, TX

$113.30K - $136K/yr

Data Engineer - AI Dallas, TX (preferred) | Hybrid (Bishop Arts preferred) | Full-time Reports to ... Work alongside engineers building ontology layers, semantic layers, and knowledge graph systems

Data Engineer (Founding Team)

Bodega Bay, CA · On-site

$135.90K - $163.20K/yr

San Francisco Bay Area Type: Full-Time Compensation: Competitive salary + early-stage equity Backed ... You'll build the backend systems, data pipelines, connector frameworks, and graph-based knowledge ...

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Showing results 1-20

Full Time Knowledge Graph information

See salary details

$18

$28

$36

How much do full time knowledge graph jobs pay per hour?

As of May 30, 2026, the average hourly pay for full time knowledge graph in the United States is $28.31, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $32.93 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Knowledge Graph jobs? The most popular types of Knowledge Graph jobs are:

AI Engineer

Nastech Global

Cupertino, CA • On-site

Full-time

Posted 23 days ago


Job description

Job Title: AI Engineer
Location: Cupertino, CA (onsite)
Job Type: Full time
 
Job Description
• Strong experience with Large Language Models (LLMs) and agentic workflows
• Hands-on experience with LangGraph for workflow orchestration
• Expertise in building Retrieval-Augmented Generation (RAG) pipelines
• Knowledge of semantic layers and knowledge graphs for structured reasoning
• Proficient in Python and FastAPI for backend and API development
• Solid understanding of databases (SQL/NoSQL) and query optimization
• Design and develop AI-driven applications leveraging LLMs and agentic workflows
• Build, test, and deploy backend services and APIs using Python and FastAPI
• Implement workflows using LangGraph and integrate with external services/APIs
• Ensure code quality, scalability, and reliability in production systems
• Develop RAG systems, semantic layers, and knowledge graph integrations
• Ensure code quality, scalability, and reliability in production systems
• Participate in code reviews, maintain coding standards, and follow best practices
• Stay up-to-date with emerging AI tools, frameworks, and LLMOps best practices
• Large Language Models (LLMs)