Unilime is looking for an AI Full-Stack Engineer with 3+ years of commercial web development experience.
We work with Go and React, and our infrastructure runs on GCP. You ship a change to production and then keep it running.
The team is small. A task goes from the UI to the service and on to staging and prod. It doesn't wait to be split across roles.
A commercial background in another stack is also a fit. What matters is getting up to speed in Go and React quickly with AI, and owning the code that gets merged. Here, AI is a way to move faster, not just autocomplete.
On the project, we use Cursor and Claude to read an unfamiliar service, draft a change, and close a task from the UI all the way through deployment. A human reviews the generated code for correctness, security, and production behavior.

What you will do

Backend: Product logic in Go: accounts, business rules, background jobs, and HTTP APIs. We use Postgres.
Frontend: The interface in React and TypeScript.
Services: Queues, status tracking for long-running tasks, and API contracts. Docker locally and in CI.
Cloud: Deployment and basic support on GCP together with DevOps: Cloud Run, Pub/Sub, buckets, GitLab CI. DevOps owns Terraform; you can read it and know what actually lands on staging and prod.
Production: Migrations, incidents, and taking care of what users already rely on.

Engineering base

3+ years of commercial web development experience, including work you shipped to production and then maintained.
Hands-on experience with a JavaScript framework. Ours is React with TypeScript.
Ready to write Go. Go experience is a plus. PHP, . NET, Node, or another backend language is welcome, as long as you're ready to move to Go and keep the bar high on production code.
Solid day-to-day use of Cursor and Claude: writing precise prompts, verifying the output, and never merging code you don't understand. You pay attention to security, service boundaries, and whether a change breaks something that already works.
Docker, asynchronous processing, and clear boundaries between services.
Upper-Intermediate English or higher: documentation, working with LLMs, and technical writing.
Independent and fast. You ask early, follow through on decisions, and communicate directly with the team and DevOps.

Cloud

GCP is preferred. AWS or Azure experience is a fit, as long as you're willing to learn our infrastructure with DevOps rather than handing off the deployment and stepping away.