Staff Augmentation
Agents · Retrieval · Evaluation
AI Engineer
Builds agents, retrieval architectures and evaluation, from prototype to production.
01The problem
When to bring one in
An AI roadmap full of prototypes that never reach production.
02What it is
We have held the seat, not just staffed it
The difference is not availability, it is what the person arrives knowing: the systems, the reporting and the reason the number does not reconcile.
Agents
Built and orchestrated on your systems, with the permissions they need and no more.
Retrieval
Architectures over your documents and data, so answers come with their source.
Evaluation
Tests and monitoring that keep quality measurable after launch.
03How it works
- 01Capacity call
The role, the stack and the team the person joins.
- 02Profile matched
Senior people who have held the seat, not just filled it.
- 03Embedded in two weeks
Your stand-ups, your backlog, your tools, your manager.
- 04By the month
Or by the project. Scaled up or down, with no recruitment cycle and no severance.
What you get
- Senior capacity in two weeks
- Same time zone as your team
- Monthly, scaled up or down
- No recruitment cycle, no severance
04Where this has already run
- Bergamo, Italy · 2026
Energy group competing for public and private contracts
A geographic, prioritised pipeline built from data that was already public.
→ - Plano, Texas, USA · 2026 to present
Peer-reviewed scientific video journal
Live subscription performance and a month-end that closes without manual consolidation.
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