Scope call
We learn your stack, team, and the first outcome the engineer should deliver.
Dedicated AI engineer
A dedicated AI engineer from Flowmoat joins your team on a monthly basis, works in your tools and stand-ups, and reports to your lead. They build and maintain AI assistants, RAG search, agents and workflow automation inside your existing systems, and you can scale the engagement up or down month to month.
Sound familiar?
Hiring an experienced AI engineer takes months, and the roadmap can't wait.
Your developers are strong, but nobody has shipped RAG or AI agents to production before.
A freelancer built a prototype, then disappeared before it was production-ready.
You need AI capability for a few months of build, not a permanent senior hire.
How it works
We learn your stack, team, and the first outcome the engineer should deliver.
We propose an engineer whose experience fits the work: RAG, agents, automation, or integrations.
The engineer joins your Slack, repo, and stand-ups and ships a first change in the first week.
Each month we review delivery with your lead and adjust scope or capacity.
Related reading
If a process has fixed rules, an AI agent is the expensive way to run it. The test is simple: does any step require judgement?
The pilot impressed everyone in the room. Then it stalled for six months. The reasons are boringly consistent, and all five are avoidable.
Want proof we ship? See products we built and operate
FAQ
A project has a fixed scope and price. A dedicated engineer works as part of your team on a monthly basis, so priorities can change week to week without renegotiating a contract.
We work with teams in the US, UK, Canada, Australia and the UAE, and set daily overlap hours with your team for stand-ups and reviews.
You do. All work is committed to your repositories under your accounts from the first day.
Yes. Most teams start with one engineer and adjust capacity after the first month.