Agentic AI Engineer || Onsite at San Jose CA

Job Title: Agentic AI Engineer (LangGraph / Python)

Location: San Jose, CA (Onsite/Hybrid)

About the role
We’re looking for an AI Agentic Developer to design, build, and ship production-grade agentic AI systems with LangGraph. You’ll work across Python, LLM integrations, multi-agent orchestration, and the infrastructure that keeps agent workflows reliable at scale.

What you’ll do

• Build stateful, multi-step agent workflows in LangGraph, including cyclic flows, subgraphs, and conditional routing
• Design multi-agent systems using supervisor, handoff, orchestrator-worker, and routing patterns
• Build reusable tool layers: schemas, registration and discovery, dynamic loading, and solid error handling
• Integrate LLMs (OpenAI, Claude, Gemini, or equivalent) into production services
• Implement human-in-the-loop flows, streaming, tracing, and observability
• Take agents from prototype to production with evaluation, security, scalability, and deployment in mind

Required skills

• Strong Python development, including asynchronous programming and API integration
• Hands-on LangGraph experience: StateGraph, typed state, nodes, conditional edges, subgraphs, reducers, and cyclic workflows
• Production persistence: PostgreSQL-based checkpointing, thread management, state history, recovery, and reliable execution
• Tool integration: reusable tool schemas, tool registration and discovery, dynamic loading, and error handling
• Multi-agent orchestration: supervisor, handoff, orchestrator-worker, and routing patterns
• LangChain expertise, including LCEL, runnables, structured outputs, and tool calling
• LLM integration with OpenAI, Claude, Gemini, or equivalent models
• Human-in-the-loop workflows, streaming, tracing, and observability using LangSmith or equivalent
• Production readiness: evaluation, security, scalability, and deployment

Nice to have (depending on project)

• Real-time voice processing, STT/TTS
• Graph databases and GraphRAG

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