AI Product Engineer

Build an AI product people actually use — and own the whole thing!

Most engineers are shipping tickets into a codebase they'll never demo, for users they'll never meet. Here's the opposite job.

Behind every clinic visit is a mountain of billing and insurance work — the revenue cycle — handled by real people doing repetitive, detail- heavy work all day. We've built a working beta of an internal artificial intelligence (AI) agent tool that takes that grunt work off their plates. It works. Now it needs an owner.

That's you. One person, one product, end to end: you write the code, you decide what to build next, you sit with the people using it, and you make it better every single week.

The big AI labs call this kind of work forward deployed engineering — embedding an engineer directly where the work happens and building the solution on the spot, with the people who'll use it. 

We're doing it pointed inward: your customer is our own revenue cycle team, and they sit down the hall, not behind a sales cycle.

What you'll do

Build. Take our beta and turn it into the product every revenue cycle employee reaches for daily. You'll write real code — interfaces, integrations, agent workflows— in a modern stack on Azure.

Own the product. No product manager hands you specs. You watch how the team works, find the friction, decide what matters, ship it, and measure whether it actually helped.

Work inside a real compliance perimeter. Healthcare AI has rules under HIPAA, the federal health-privacy law: protected health information (PHI) stays on our machines, models are accessed through a compliant Azure setup, everything authenticates through Microsoft Entra. The architecture is already designed — you'll build within it and, in the process, learn the regulated-AI engineering skills that most engineers never get to touch and that companies are desperate for.

Drive adoption. Ship it, teach it, watch people use it, fix what confuses them. Your scoreboard is simple: do people choose to use what you built?

Work directly with the CEO. Weekly product reviews with the person who can say yes on the spot. No layers.

Who we're looking for

A software developer with roughly 1–3 years of experience who's realized they care more about what gets built and whether it works for people than about engineering for its own sake

Strong enough to build alone — you'll be the only engineer on this product, with executive support but no senior dev reviewing your pull requests

Already tinkering with large language models (LLMs) and agents — side projects absolutely count, and we'd rather see one scrappy thing you actually shipped than a resume full of buzzwords

Able to sit with a non-technical teammate, understand their workday, and explain your work in plain English.

Self-directed, curious, and comfortable with figure it out as a job description.

You do not need healthcare experience. You do need to give a damn about the people using your software.

A note on the bar: we're hiring early-career on purpose. We think the best builders can already operate at the level of engineers with a decade on them — and this seat is designed to prove it. That also means we're picky. If you're the person your team quietly routes the hard problems to, the one who shipped something last year you technically weren't supposed to know how to build yet, this job was written for you

What's in it for you

Ownership you can't get anywhere else at this stage of your career. This is afounding-engineer seat for our internal AI function. As it grows, you're first in line to lead it.

A portfolio-defining product. I built and own the AI agent platform used daily by a multi-state healthcare company's revenue cycle team, inside a HIPAA-compliant architecture is a sentence that will open doors for the rest of your career.

Real users, real impact, fast feedback. You'll see your work save people hours in the same week you ship it.

Startup: If we are successful in early work, this will become a true startup and you would be a founding part of.