AI-enabled dev resources, embedded in your team
Dedicated senior developers who work inside your repo, your sprint and your review process. AI tooling raises the ceiling for engineers who already know what good looks like — and the blast radius for everyone else. That is why the bench is senior-only.
Four hires that cover most teams.
Every one is senior, vetted in code by our own staff engineers, and works with LLMs and agent tooling as a matter of course.
Senior full-stack
End-to-end product engineering across web, API and database. The default hire for most teams.
AI / LLM engineer
Agents, retrieval, prompt and eval infrastructure, plus the serving layer behind it.
Data & platform
Pipelines, warehousing and the infrastructure your AI features depend on to stay up.
Delivery PM
Add a project manager to any group of engineers and turn a resource pool into a team.
One monthly price. No line items.
Recruitment, equipment, payroll and compliance are ours to carry. You get one invoice and 30 days’ notice.
Request profiles- Full-time dedicated senior engineer, no shared allocation
- Recruitment, vetting and technical interviewing
- Replacement cover if fit is wrong in the first two weeks
- Equipment, payroll, compliance and local employment
- Account manager and quarterly performance review
- Notice period of 30 days, no exit fee
Five questions a body shop cannot answer.
Ask any vendor these before you sign. The answers separate a bench from a brokerage.
Representative profiles, available now.
Real engineers from the current bench. You run your own interview loop — we do not gate it.
Payments and marketplace platforms. Led the TypeScript monolith split at a Series C fintech and now runs AI code review in every sprint.
Built a retrieval and agent stack serving 40k daily queries in regulated healthcare, including the eval harness and red-team suite.
Ran multi-team delivery for two enterprise logistics rollouts. Owns cadence, scope defence and the written status your CFO reads.
Need a whole team?Add a delivery PM and the resource pool becomes a team that owns the outcome. Specialists run $3,500/month; a three-person pod starts at $10,000.
See managed teams