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:

This is not prompt engineering.
This is making AI work in production.

What you’ll do

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.

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.

1. Project (GitHub)
An agent system that:

2. Short answer (5–10 sentences)
Describe a system where an AI agent failed.
What caused it, and how would you fix it?

AI models are already powerful.

The bottleneck is making them:

The teams that win will not have better prompts.
They will have systems where agents actually work.

Most engineers won’t enjoy this role.

It requires:

But if this clicks for you,
you’ll be working on the actual frontier of software engineering.