Work on the half of AI that reaches production.
Most AI jobs are prompt work and prototypes. Ours are permissions, state, evaluation suites, audit trails and integrations into systems that cannot go down.
AI-augmented, human-accountable.
Our engineers work inside the delivery lifecycle described on How we build: AI drafts, generates and tests; you own the approach, the trade-offs and the approval. If you want to ship AI systems that are tested, observable and handed over properly, that is the job.
- Production engineering, not research, but real model work where the task needs it
- Client-owned IP, so what you build is documented and handed over, not hoarded
- Regulated and audited environments, where correctness is checkable
- Small teams with named accountability at every gate
Open roles
We are always glad to hear from engineers with production AI, data platform or legacy integration experience, whether or not a role is posted.
It starts with two days.
Enough to know what to build first, and what it will cost.