For companies
Ships whole products end to end, front to back, with AI doing the heavy lifting. We find the ones who can actually do it, and we figure out the right way to bring them to your problem.
A full-stack engineer builds the whole thing: the interface, the API, the data, and the glue between them. They are comfortable anywhere in the stack and pick up whatever the problem needs.
The AI-native version ships far more of it, far faster. The bottleneck moves from writing code to knowing what to build and keeping quality high while the machine writes most of it.
Most hiring filters on credentials and years. The thing that makes a full-stack engineer good does not show up there. It shows up in how they work, which means you have to watch them work to see it.
That is what we do. We watch people work instead of reading resumes, so the person we send you is calibrated on the actual job, not the interview. Sometimes that is a hire. Sometimes it is a project or a person embedded for a while. We work out the shape with you.
They build entire products: the frontend, the backend, and the data layer, moving wherever the work is.
Yes, it is remote and global. We hire the best person for the work wherever they are. Total compensation runs $155k to $340k depending on level and location.
Yes. It is the one hard requirement. You should already build with AI day to day, with real taste for when to trust it and when not to. If AI coding is still a novelty to you rather than how you work, this is not the role.