Senior Agent Engineer - Flynn engagement

• 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.

Originally posted on Himalayas

• 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.
• Ability to explain technical risk in clear terms a non-technical stakeholder can act on, and to raise problems along with possible solutions.
• Strong written and spoken English (you'll be working directly with US-based teammates and client stakeholders).
• Full availability to overlap with US Central time business hours.