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Knowledge Graph Engineer Jobs in California (NOW HIRING)

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

The Content Knowledge Graph team within Data Science & Engineering equips scientists, engineers, and business executives with a global understanding of the entertainment industry "on & off-service"

The Content Knowledge Graph team within Data Science & Engineering equips scientists, engineers, and business executives with a global understanding of the entertainment industry "on & off-service"

... and knowledge graph integration. * Ability to collaborate deeply across teams and co-create ... Experience mentoring engineers and helping others grow in AI, LLM, and agent-based system design.

... and knowledge graph integration. * Ability to collaborate deeply across teams and co-create ... Experience mentoring engineers and helping others grow in AI, LLM, and agent-based system design.

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Knowledge Graph Engineer information

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Infographic showing various Knowledge Graph Engineer job openings in California as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

AI Engineer

Nastech Global

Cupertino, CA • On-site

Full-time

Posted yesterday


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)