Product Engineer, Care Loop (backed by Y Combinator, $5M+ ARR, $23M+ raised)

About this role

🧠 ABOUT LEGION HEALTH

At Legion Health https://legionhealth.com/, we believe everyone deserves fast, affordable, and world-class health care, and we’re developing the AI infrastructure to deliver it ourselves at world scale.

Legion is building autonomous medical care (the AI doctor), starting with psychiatry. Our AI-native care-delivery platform currently automates 95% of the administrative work required for us to deliver direct patient care. We also recently became the first company ever to receive regulatory authorization to let AI prescribe psychiatric medications https://nypost.com/2026/03/27/business/artificial-intelligence-can-now-prescribe-mental-health-drugs/, allowing us to not only collapse health care’s admin costs but also its clinical labor costs—shifting this industry’s economics from humans to tokens.

Our technical moat is hard to copy—we combine rich data, production AI, doctors in the loop, and end-to-end care operations to deliver measurably better care to a clinically complex patient population. This has helped us produce tens of thousands of total visits in just 2 years, all while holding ops costs flat and achieving industry-leading patient NPS and retention. While the last generation of healthcare startups made the existing system incrementally more efficient, Legion is rebuilding full-stack care delivery from first principles. Our vision? A 10X better patient experience that’s higher quality, less expensive, and more scalable than ever before. And a 10X better clinician experience that frees our providers to focus on what matters most: caring for patients.

Legion Health is backed by Y Combinator, leading venture capital firms, and founders from Function Health, Modern Health, Everly Health, Trusted Health, Clipboard Health, PatientPing, Sesame Care, Faire, EasyPost, and fuboTV.

Join us as we build the future of health care: faster, higher-quality, and more affordable, powered by doctors and AI working together.

🚀 THE ROLE

Hey, I'm Daniel Wilson, co-founder and CTO at Legion. I studied applied math and CS at Princeton, led the Office Scripts and Power Automate integration at Microsoft, and did deep learning and RL research before that. GitHub: github.com/danielgwilson http://github.com/danielgwilson

I'm hiring a product engineer to ship the care loop: the path a real psychiatric patient travels through our platform. Booking a visit. The provider seeing their history at a glance. The prescription going out. The follow-up landing on the calendar. Right now our providers run thousands of visits a month on legacy tools while we move them onto the platform we built, and the engineer in this seat is the one who makes that platform good enough that nobody misses the old one.

This is not a ticket-taking job and it is not an infra job. It's the seat for someone whose instinct, handed "the provider can't scan the patient's meds fast enough during a live visit," is to go sit in on a visit, fix the screen, ship it that week, and then fix the three things they noticed while they were in there. The best engineer we've had in this lane got hired in 8 days and owned an entire e-prescribing integration within a month. That's the pattern this seat rewards.

✅ WHAT YOU'LL OWN

- The live clinic test. We're driving to a full clinic day on our platform with zero fallback to legacy tools. The current gap list is specific: prior-visit context at a glance, medication lists a clinician can scan in seconds, unambiguous pharmacy selection, prescription status you can trust, patient accounts and visit links that just work. You ship these.

- The patient surface. Booking, intake, portal, messaging, reminders: the experience that decides whether a psychiatric patient in Texas feels taken care of or lost.

- The provider surface. The screens a nurse practitioner uses with a live patient in the room. Scannability and correctness here are clinical safety, not polish.

- The loop end to end. Visit to note to prescription to follow-up, as one coherent flow rather than four features. You'll work against our event-sourced clinical spine (orders, tasks, receipts) with a principal engineer owning the substrate under you.

- Agent-assisted everything. We ship with AI agents as a matter of course, and your work goes to production weekly at minimum, usually faster.

🏆 WHAT "A FIT" LOOKS LIKE, CONCRETELY

- You've shipped real product 0-to-1 or 1-to-N and owned it after launch: not tickets, features with your name on them and users who noticed.

- You move across the stack without ceremony: Next.js and TypeScript on the front, Postgres and event-driven services behind it.

- You use AI coding agents daily and can show us your setup. We care what you let them do and how you check them.

- You have product taste under constraint: you can make a screen a stressed clinician reads in three seconds, and you know that's a different problem than making it pretty.

- Handed an ambiguous feature, you go look at the real workflow (sit in the visit, read the transcript, call the ops person) before you write code.

- Experience level: doesn't matter if you're cracked. Our best hire in this lane was early-career; the bar is slope and ownership, not years.

This role is not for you if you need a spec before you can start, you think of frontend as someone else's job (or backend as someone else's job), or shipping to real patients weekly sounds stressful rather than like the whole point.

💻 TECH STACK

TypeScript and Node.js, Next.js 15 on Vercel, Postgres, event-sourced clinical records, production LLM agents (Anthropic, OpenAI) with tool-calling and evals, e-prescribing and EHR integrations, PHI-grade security and audit trails.

📝 PROCESS (7 TO 10 DAYS, WE MEAN IT)

1. Product deep dive (45 to 60 min). Walk me through something you shipped and owned: the decisions, the users, what you fixed after launch.

2. Hands-on technical (2 hours, in person or live). Build against a simplifie

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