Full-Stack Engineer; AI-Augmented

Build the core of our medical, ERP, and process-automation platforms, augmented by modern AI workflows.

You build the engine room of our products. The medical platforms, custom ERPs, and process-automation systems we deliver only exist because someone takes the architecture and turns it into running code that holds up under real use.

You work alongside senior architects, translating designs into implementation and using our AI-augmented workflow to ship features faster than any IDE-only team can match. The point of the workflow is not less thinking - it is more time spent on the parts of the problem that matter.

The work spans the whole stack you would expect: business logic, data models, APIs, and the screens that consume them.

What we won't ask: that you grind out boilerplate, fight an old framework into shape, or sit through standup theatre. What we will ask: that you take real ownership of the features you ship, push back on architecture you disagree with, and use modern tooling like a senior, not a tourist.

• Implement business logic for our custom ERPs and medical platforms.
• Pair AI tooling with senior judgment so velocity stays high and code stays reviewable.
• Take features from spec to production: data models, APIs, the screens on top.
• Spot architectural drift early and call it out before it becomes debt.
• Mentor more junior engineers using the same AI-augmented workflow you use.
• Write the tests that catch what AI-generated code misses.
• Read other engineers' diffs critically — and have the conversation when something is off.
• Keep an honest internal log of where AI tooling helps and where it gets in the way, so the team learns alongside you.

• Strong full-stack foundation: a typed language at the API layer (Type Script/Node, or C# is fine), comfortable with SQL and data modelling, opinion on how to structure a frontend.
• Curiosity about what AI changes about our craft, and willingness to adopt it.
• The instinct to ask "why" before shipping.
• Mid-to-senior level, with at least a few production systems behind you.
• You want to be a pilot, not a passenger.
• Comfort working in production environments — feature flags, observability, incident response, the boring parts that keep systems running.
• Track record of shipping at least one non-trivial feature end to end (data model, API, UI, tests, deploy).
• An opinion on what AI tooling is for, and where it isn't.

If this role fits, send a short note about what you have built and why this would be the next thing. We respond to every applicant we can take seriously, normally within a few days.

We build software that runs businesses. If you're ready to replace workarounds with something that actually works, let's talk.