Senior Python — Generative AI Engineer (LangGraph + AA)
Location:
Remote
Key responsibilities
Design and implement
functional agents
(tasks/nodes) and multi-agent graphs in Python using LangGraph’s functional API (tasks, entrypoints, handoffs).
Integrate LangGraph-based agents with an AA-compatible messaging layer so agents can Client capabilities, delegate subtasks, and exchange structured messages securely.
Build durable state, checkpointing, and error-recovery for long-running agent workflows (persistence, retries, backpressure).
Required (must-have)
Strong Python ( — idiomatic async programming, typing, and packaging.
+ years building backend systems or distributed applications; experience in productionizing ML/LLM systems.
Hands-on experience building or orchestrating multi-step LLM workflows or agents (LangChain, LangGraph, AutoGen, etc.).
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