Full-time seat
One engineer on your product all week: in your standups, your repository and your chat.
Engineers who take an AI idea from a notebook to a feature your customers rely on.
How they can join

Skill 01 / 06 · Python / TensorFlow / PyTorch
Gel 04 · AI & data crew
We build LLM features, search over your own documents, classifiers and vision models, then run them in production with monitoring. Every model ships with an evaluation set, so you can see quality before and after each change.
06 takes · concept to code
LLM features grounded in your own data, with sources shown
Evaluation sets built before anything reaches a customer
Classic ML and computer vision when an LLM isn't the right tool
Models served behind APIs your product team can call
Monitoring and retraining planned from the first release
Providers and settings that keep your data out of model training
AI & data · Gel 04 · AI & automation
Hire by the seat or by the outcome. Every model comes with the same Friday demo and a direct line to the people doing the work.
From CA$2k
One engineer on your product all week: in your standups, your repository and your chat.
A few days a week for steady work that doesn't need a full seat. Scale up when it does.
A defined piece of work with a fixed quote, clear milestones and a demo every Friday.
Our engineers join your team and take direction from your leads, with the StackBridge crew behind them.
Tell us what's missing, meet the people we'd put forward and choose who joins. From then on they're in your standups and on your board, and you see their work at the Friday demo.
Call sheet
New crew member
NDA signed before you share code, data or plans.
Q.01
In Edmonton, Alberta, Canada. We work remotely with teams across North American time zones, and further afield when the hours line up.
Q.02
Our day runs on Mountain Time, so teams anywhere in North America share most of their working hours with us. We agree core hours for standups and reviews before anyone starts.
Q.03
Yes. Send yours or use ours, and it's signed before you share code, data or plans. Everyone we put forward works under it.
Q.04
We read your brief, look at your stack and how your team works, then pick people from our crew who have built in that stack. Each profile comes with a short note on why we chose them.
Q.05
Tell us early. The first two weeks are a trial; if the fit isn't right, we bring in someone else from the crew and hand the work over properly.
Q.06
You do, from the first commit or the first frame. We work in your repository and your design files, and nothing stays on our side when the engagement ends.
Tell us about the workflow and the data behind it. We'll match an AI engineer and plan a first prototype, with a way to measure it.
Tell us what you're making. We reply within a day with next steps and a rough plan.
Studio 1 · Rec
Booking now forBooking projects · Dec 2026
Next start dates