CAREERS / JOIN THE CREW
AI-native, by design.
AI-fluent, by hire.
AI-led, by outcome.
AI doing what AI does best.
Humans doing what humans do best.
We know the difference.
We engineer the operating models our clients run on.
Join the crew who builds them.
The fluency bar.
Every person on the bench can do all four of these before they're hired:
- —Land production code with an AI coding assistant in their daily flow.
- —Build and run at least one eval-driven workflow.
- —Explain the trade-offs between RAG, fine-tuning, and prompt engineering for a real use case.
- —Land at least one feature where an LLM is in the production path.
We hire on hands-on AI work, not whiteboard problems.
We say no to strong generalists who haven't adopted AI in their day-to-day.
The bar moves up. We move with it.
How we work.
- —Small pods, sized to the work.
- —Two-week sprints.
- —AI-assisted from day one — pair with AI on writing, reviewing, refactoring, testing.
- —Eval gates on every AI feature.
- —Daily client visibility. We over-communicate. We don't over-staff.
Open roles.
We're hiring AI engineers, ML/data engineers, AI-fluent PMs and designers, prompt and eval engineers, and platform engineers across US, India, and UK/EU. Send your work to [careers email].
What we won't do.
- —We won't hire strong generalists who haven't adopted AI.
- —We won't promise career paths we can't run.
- —We won't run interview loops that test for theatre over work.