Works with
Hire one when
- You are adding an AI feature to a live product
- Your AI answers are inconsistent or too expensive
- You want to avoid being locked to one model provider
What they do
What an LLM Engineer does for you.
Choose and test models on your own examples
Build retrieval so answers come from your data
Write prompts and context as tested, versioned code
Set up test sets for answer quality
Route between models to balance cost and speed
Engineers from our own team, matched to your stack.
Start with a callHow hiring works
Four steps, no CV pile.
- 1
Intro call
What you're building, the stack and the seniority you need.
- 2
Matched engineers
We put forward engineers from our own team who fit, not a stack of CVs.
- 3
Trial week
They work on your real backlog, so you judge the work, not the interview.
- 4
Embedded
Your stand-ups, your tools, your code review. Scale up or down as you need.
Yes. They build so the model can be swapped, and test alternatives on your data before recommending one.
Yes. A common first task is adding tests and tracing to an existing feature, then fixing what the numbers show.
Typically within one to two weeks of scoping the role, because our engineers are already part of our delivery process.
Engineers from our own team. We do not resell freelancers from a marketplace.
Either works: you manage the work directly while we handle technical oversight, or we manage the engagement end to end.
Other roles
Build the rest of the team.
AI Agent Engineer
Agents and tool-using workflows, built for production.
Claude Developer
Products and agents built on Anthropic's Claude.
RAG Engineer
Search and retrieval over your documents and data.
Full-Stack Engineer
React, Next.js and Node, from database to interface.
Mobile Engineer
Flutter apps for iOS and Android from one codebase.
Automation Engineer
n8n and GoHighLevel workflows that remove manual work.