AI Training
We would rather build the engineer than bid against four other firms for one.
Most of the gap is exposure, not talent.
Your strongest cloud and software engineers already have the hard part, which is production judgment. What they lack is one structured programme against real problems. And engineers you grow tend to stay.
Select
We start with engineers who already have production depth. The AI layer goes on top of judgment that already exists.
Train
Taught against production problems with real failure modes, not toy notebooks that work on the first run.
Place
Into your team, or ours, with the work standing as the assessment. No certificate.
Support
Graduates stay connected to our engineering bench, so a hard problem does not stall on one person.
What we teach.
The curriculum is the work we do for clients, taught in the order you would actually encounter it.
Retrieval architecture
Chunking strategy by document type, embeddings, vector stores and hybrid retrieval. Why the naive approach fails on real corpora, and how to tell before it reaches users.
Agents and tool use
When an agent is the right answer and when a fixed pipeline is better. Tool design, routing, termination conditions and cost control.
Evaluation
Building a golden set that means something, retrieval and generation metrics, and gating releases on evidence, not on a demo that went well.
Guardrails and governance
Input and output controls, entitlement-aware retrieval, prompt injection, and the audit trail an auditor will ask for.
Running it in production
Service levels for AI, drift across corpus, query and index, re-indexing strategy, incident response and what to do when quality silently degrades.
Who it is for.
Your engineers
Upskill the people you already trust. They know your systems, your data and your constraints, which is most of the problem solved already.
Experienced engineers
Cloud, platform and software engineers moving into AI work. Production background expected. This is not an introduction to programming.
Our bench
Everyone we place trains here first. It is why we can stand behind a placement instead of forwarding a CV and hoping.
Grow the engineer you cannot hire.
Tell us the capability you are missing and we will tell you whether it is teachable, and how long it takes.