About the role
What this role is
We build AI agents that do real work.
Not assistants. Not demos.
Agents that execute workflows end-to-end and produce correct outcomes.
Your job is to:
- build those agents
- and build the systems that make them reliable
This is not prompt engineering.
This is making AI work in production.
What you’ll do
- Build agents that execute multi-step workflows
- Design systems for validation, retry, and failure handling
- Define constraints (schemas, invariants, contracts)
- Add feedback loops (detect → debug → improve)
- Turn failures into reusable systems
What this role is NOT
- Not prompt engineering
- Not one-shot demos
- Not feature-heavy product work
You are building agents that do the work, and the systems that ensure they do it correctly.
Note: This is different from “vibe coding.” You won’t just prompt and accept outputs. You’ll build systems so results are reliable and repeatable.
What we’re looking for
- Strong systems thinking
- Background in:
- infrastructure, backend, or data systems
- developer tools or internal platforms
- Experience building reliable systems (not just features)
- Comfortable debugging complex, ambiguous problems
Important: LLM experience alone is not enough. We care about how you make systems reliable.
