Hire developers · AI & Cloud
AI & Cloud
Hire AI engineers
LLM and agent features built on your own data and permissions, with the evaluation and guardrails designed in rather than added after.
What they are hired to build
The work, before the CV.
A role written against the work gets a better shortlist than a role written against a stack. These are what AI engineer engineers are usually brought in to do.
Roles we recruit: AI engineer · Senior AI engineer · LLM application engineer · GenAI engineer.
- Retrieval over your own documents, on your existing permissions model
- Agents inside an operational process, with human checkpoints
- Prompt and context engineering, and the evals that keep it honest
- Cutting the token bill on a feature that already works
The technical screen
What the conversation actually covers.
Every candidate has a real technical conversation with an engineer who has done the job, and you get written evidence per competency. In AI engineer, that conversation covers the following.
Usually assessed alongside: Python, TypeScript, LangChain, Vector databases, Evals.
- Retrieval quality: chunking, ranking, and how they measured it
- Evaluation — what a regression looks like when outputs are not deterministic
- Prompt injection and data boundaries, on a system with real permissions
- Cost and latency per request, and where they cached
This is the stack where titles have drifted furthest from the work. We screen for what someone has actually shipped and evaluated, not for how many model names are on the CV.
Three ways to bring one on
The route changes; the screening does not.
The same three routes apply whichever stack you are hiring for. Which one fits depends on how long you need the person and whether the headcount is approved.
Permanent placement
Companies hiring engineering and data roles
One fee on joining, with a 90-day replacement guarantee.
- Typical timeline
- 3–8 weeks to offer
Contract staffing & staff augmentation
Companies with budget but no headcount
We employ them, you direct them. Monthly, for when the need is real but headcount is not approved.
- Typical timeline
- Monthly, 3-month minimum
Contract to hire
Companies hiring into a new or unclear role
Three to six months as a contractor, then convert. The honest option when neither side is sure.
- Typical timeline
- 3–6 months to conversion
Or have us build it instead
If the need is the work, not the headcount.
AI & Data
RAG & knowledge assistants
Retrieval over your own documents, built on your permissions model rather than around it.
AI & Data
AI agents & workflow automation
An agent inside an ops-heavy process, with the human checkpoints designed in rather than asserted.
AI & Data
LLM cost & performance audit
For a live AI feature whose bill or latency has stopped making sense.