AI Product Engineer

AI Product Engineer

MainStreet Family Care Birmingham AL Full-time In-person (with real time alongside the team youre building for)

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

Most engineers are shipping tickets into a codebase theyll never demo for users theyll never meet. BORING. Heres an alternative.

MainStreet Family Care runs urgent care and primary care clinics across four states primarily in rural areas bringing walk-in healthcare to small-town America. We know we know doesnt seem so glamorous. But 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. Still not exciting Well unlike all the other antiquated healthcare guys we are innovative and move FAST. Weve 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 to take it for walks (kidding) and help it grow.

Thats 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. You see the fruits of your labor playing out in the real world.

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 wholl use it. Were doing it pointed inward: your customer is our own revenue cycle team and they sit down the hall not behind a sales cycle.

A note: AI likes em dashes. So do we. We wrote this from the heart; enjoy.

What youll do:

• Build. Take our beta and turn it into the product every revenue cycle employee reaches for daily. Youll 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; youll 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 were looking for:

• A software developer with roughly 13 years of experience whos realized they care more about what gets built and whether it works for people than about engineering for its own sake. What counts as experience You convince us.

• Someone strong enough to build alone. Youll 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 wed 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 Heres the goal. 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 and do need to actually care about your work.

A note on the bar: were hiring early-career on purpose. We think the best green 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 were picky. If youre the person your team quietly routes the hard problems to the one who shipped something last year you technically werent supposed to know how to build yet this job was written for you. Maybe youve had 2 careers before this but just pivoted to AI because you saw it picking up speed and have a knack for it this could also mean you!

Whats in it for you:

• Ownership you cant get anywhere else at this stage of your career. This is a founding engineer seat for our internal AI function. As it grows youre first in line to lead it.

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

• Real users real impact fast feedback. Youll see your work save people hours in the same week you ship it.

• Startup: If we are successful in early workthis will become a true start-up and you would be a foundering part of that.