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ashby

Senior Software Engineer

Foundation Health
Remote, USA
Full-time
Senior
Remote
Discovered 2 months ago
LLMEpicNodeTypeScriptGCPSMS

Full Job Posting

About Foundation Health

Foundation Health is an AI operating system for pharmacy - built by a team who lived the problem firsthand, not one that came to healthcare from the outside. Every day, prior authorizations delay prescriptions, pharmacists lose hours to paperwork instead of patients, and prescriptions slip through the cracks between health systems. We believe thoughtfully applied AI can finally change that - deep, integrated infrastructure that streamlines how care is coordinated, purpose-built for the complexity of specialty pharmacy.

We're building toward a world where pharmacy teams spend their time on patients, not paperwork - where AI handles the routine so clinicians can focus on what only humans can do. Getting there takes the right people. We're looking for curious, ambitious folks who want to help solve healthcare's hardest problems - for our patients, our partners, and each other.

The Role

This isn't a pitch deck. Our platform is live in production inside major US health systems — including Intermountain Health — where our AI handles real patient communication over voice and SMS and plugs directly into Epic workflows. We have a public partnership with Amazon Pharmacy. We raised a $20M Series A led by Define Ventures. Our CEO is a 2x founder; our VP of Engineering came from DeepMind. We're ~70 people, past PMF, with enterprise customers pulling us forward faster than we can hire.

You'll own features end-to-end: from a loose product requirement, through the data model and API design, to production and into a customer's hands — sometimes within 48 hours.

Think about your last launch. How long between "this is obviously right" and "it's live"? Whether the delay was review layers, a roadmap you didn't control, or a client who kept changing their mind — that gap is the reason this role exists. No ticket factory, no hands-off managers to route decisions through, no theatre.

The technical problems you'd own

Features built on LLMs that ship to real users in a regulated environment — which means evals, guardrails, and thinking hard about failure modes, not demo-ware

Integration with the messy, fascinating reality of healthcare systems: Epic workflows, prior auth logic, pharmacy operations

Full-feature architecture: data models, APIs, state, rollout — yours, end to end

Your own feature area's health: you'll watch metrics, error logs and user feedback because it's yours, not because someone assigned you a dashboard

What we're looking for

You've shipped production systems you can talk about in depth — the choices, the tradeoffs, what you'd do differently

You thrive when the path isn't fully paved. Loose requirements energize you rather than block you

Genuine product instinct: you ask "why" when a requirement feels off, and you treat regressions personally

AI tools are already embedded in how you work, not a thing you're meaning to try

Stack is Node/TypeScript/GCP, all greenfield — but we hire engineers, not stacks.

The practical stuff

We're remote-first across the US, though we've just opened a hub in Orlando if you ever wanted your comp to survive contact with your cost of living. And it's early enough that the equity is founding-role equity, not a rounding error.

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