Python Developer focused on designing stateful, context-aware AI agents using the LangChain ecosystem at Leah. Involved in production-grade agent workflows with structured state and memory.
Responsibilities
Design and develop advanced agentic systems using Python
Build multi-step, stateful AI workflows using LangGraph
Implement structured state and context management across agent lifecycles
Design memory and persistence strategies for long-running agents
Build tool-using and reasoning agents with controlled execution flows
Implement structured outputs, guards, and reliability mechanisms
Integrate LLMs and external tools/APIs into agent pipelines
Use LangSmith for tracing, debugging, evaluation, and monitoring
Optimize reliability, latency, and scalability of agent workflows
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