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Senior Agent Engineer - Flynn engagement

Focused
Location
Remote
Posted
19 days ago
Department
Client
What they actually want (must-haves)
  • 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 (LangChain, LangGraph, or comparable).
  • Experience building evaluations to catch quality regressions, using a repeatable process, not just checking outputs by hand.
  • Full-stack range: comfortable across Python (FastAPI or equivalent) and TypeScript/React, with a track record of shipping both sides of production software.
  • A strong track record delivering software in collaborative, agile, client-facing environments.
  • Genuine belief that code quality matters. TDD and pairing aren't overhead to you, they're how strong systems and strong teams get built.
Nice to have
  • Experience with multi-tenant systems (systems that safely serve many different customers at once), or a strong instinct for keeping customer data separate and limiting the impact of any failure.
  • Data pipeline orchestration experience (Prefect, Dagster, Airflow, or similar).
  • Observability/tracing experience for LLM systems.
  • Experience in industrial, field service, or another domain where errors carry physical consequences.
  • AWS infrastructure.
What the job really is

In this role, you'll be working remotely as a Senior Agent Engineer focused on building AI agents for field service applications at Flynn. Your day-to-day tasks will involve developing and shipping AI-enabled applications using a tech stack that includes LangChain, LangGraph, and LangSmith, while ensuring high code quality through practices like TDD. You'll collaborate with various stakeholders to define evaluation practices and deliver reliable software under real-world conditions.

Things to weigh
  • Contract role with full-time hours, requiring overlap with US Central business hours.
  • No salary or compensation details provided in the posting. The role involves working on live software from day one, which may imply a fast-paced environment.
  • The tech stack includes specific frameworks (LangChain, LangGraph, LangSmith) that may require prior experience or willingness to learn quickly.
Job score3/5
Benefits1/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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