Agentic developers
They break a task into pieces for separate agents (UI, backend, tests, review), write the specs and exit criteria, and check the result before it reaches main.
Agentic AI Engineers
Engineers who work with AI agents
Your team is learning to run many coding agents at once. We provide engineers who already work this way, and infrastructure people who keep it secure and the bill under control.
Two kinds of engineers.
AI infrastructure engineers
They set up where agents run: sandboxes, secrets, permissions, CI and logs. They also watch token spend and move suitable workloads to open-source models on Ollama or vLLM.
Why hire them through us.
Hard to hire, harder to keep
The skill set is new, and large tech companies pay far above market for it. A contract gets you the work without a bidding war.
No gap if someone leaves
If an engineer leaves the project, we bring in a replacement and handle the handover.
Not tied to one vendor
We set up workflows that can move between Claude, other model APIs and self-hosted models.
How we start.
Call
You tell us how your team uses agents today and where it gets stuck.
Trial task
We send engineers who match. They take a short task in your environment, so you see how they work before you commit.
Onboarding
They join your repositories, tools and stand-ups.
Tell us what your agents should be doing.
You can start with one engineer for a pilot.