Hire engineers
Hire AI engineers for language-model systems
These engineers build software on top of language models: assistants that answer from your own documents, readers for invoices and contracts, and agents that take steps in your systems.
What these engineers do
- Knowledge assistants
- retrieval over your documents, so answers carry citations.
- Document readers
- extraction from invoices, KYC papers, contracts and claims.
- Agents
- workflows that call your ERP, CRM, email or database, with a person approving the uncertain cases.
- Evaluation
- releases are scored against a test set before they ship.
- Model switching
- a layer that lets you change the model without rewriting the application.
Controls built into the work
A language model can be wrong. The engineers cannot remove that, so they make it visible: answers cite their sources, a scored test set catches regressions, and low-confidence results go to a person. Agents run under a budget cap, an allowlist of actions and a kill switch.
Stack
- Models
- Claude and GPT APIs, and open-source models
- Retrieval
- vector databases and embeddings
- Agents
- LangGraph
- Serving
- vLLM on Kubernetes and GPUs, where a model runs on your own hardware
- Tracing
- OpenTelemetry
The kind of work
In a lending workflow, the AI work was the reader for KYC papers: it pulls out the fields and sends unclear files to a person. See the case.
Who this role fits
Hire these engineers when staff search for answers in folders of documents, when a manual document check holds up a process, or when a workflow touches several systems and needs a person only at the uncertain steps. They suit a team that can supply sample documents and a way to judge an answer as right or wrong.
What to put in your brief
- The task, and what a correct result looks like
- Sample documents or cases, as many as you can share
- Where data may travel, and which model providers are allowed
- The systems an agent would need to read or change
- Who reviews the uncertain cases
How a team starts
You send a brief with the task and the documents involved. We shortlist, you interview and approve each engineer, and they join your repositories. On bigger builds a two-week feasibility spike on your real data comes first. A single engineer is the smallest start, with a one-month minimum. Hire terms apply. How soon engineers start is agreed at the start of the engagement.
Tell us the role
Which document or decision should a model handle first?
Tell us what you want to build.
The first call is 45 minutes with an architect, usually the founder. It is free, and we will sign an NDA first if you ask.