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Key Responsibilities:
- Build and ship AI-enabled applications end to end using LangChain, LangGraph, and LangSmith.
- Own technical delivery across the full stack: backend services (Python/FastAPI) through to modern web UIs (TypeScript/React).
- Collaborate closely with designers, product managers, and Flynn stakeholders to continuously deliver working software.
Required Skills:
- Production experience with LLM systems: RAG pipelines, vector databases, chunking strategy, and structured schema/prompt design.
- Hands-on experience with agentic workflows, including tool calls and multi-agent orchestration, and a real agent framework like LangChain or LangGraph.
- Full-stack range: comfortable across Python (FastAPI) and TypeScript/React, with a track record of shipping production software.
Nice to Have:
- Experience with multi-tenant systems or data pipeline orchestration.
- Observability/tracing experience for LLM systems.
- Experience in industrial, field service, or another domain where errors carry physical consequences.
Flynn
Flynn is building AI agents for field service work, giving technicians the knowledge they need to fix complex equipment on-site, the first time, every time. It is a spinout from Equips, a leader in equipment maintenance services, and is rolling out to its first customers.