Sr. Software Engineer
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Role details
Tech stack
Job description
As a Senior Software Engineer, you will build and ship the core systems behind an AI healthcare platform. You will design scalable services, put AI into production, and deliver experiences that improve patient outcomes. From day one you will have real autonomy and clear impact. We are deliberately open on the exact stack and on which area you join. We care more about how you think and what you ship than about any specific language, framework, or cloud. You will be placed on the team that best fits your strengths, on one of our three pods:
- Intelligence: AI agents that automate the back-office DME and revenue cycle workflow, from intake and eligibility to prior auth and billing.
- Clinical: the point-of-care and lab platform clinicians work in, from foot scan and evaluation to ordering custom devices.
- Lab and Marketplace: the manufacturing, automation, and commerce, plus the marketplace and admin tooling.
Why this is career-defining
- Your code will help people move without pain.
- You will have full autonomy to build, ship, and see the results, moving from idea to production in hours or days.
- You will join a high-performing team of top engineers and AI researchers, where every hire makes a massive impact.
- You will work in a culture where bureaucracy is not tolerated, fluff is frowned upon, and trust is the driving force.
What you will work on
- Architect, build, and optimize scalable systems and services that power AI-driven healthcare workflows.
- Take AI from prototype to reliable production.
- Build the data pipelines, APIs, and integrations that connect our clinical, manufacturing, and back-office systems.
- Ship user-facing experiences that move real metrics for patients and customers.
Requirements
- A senior engineer with a track record of shipping production systems end to end.
- Strong fundamentals across backend or full-stack, and comfort making architecture and infrastructure decisions.
- Fluency with modern cloud and tooling. Experience putting AI into production is a plus, not a requirement.
- Product-minded: you think about how your work affects real users.
- A strong communicator who challenges assumptions and collaborates across engineering, AI, and product.
- Driven to ship: you want control of your work from architecture to deployment, and you move fast.
- Mission-focused: you are not here to optimize ad clicks, you want to build technology that changes lives.
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Prepare application
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