Senior Software Engineer

Foundation Health

$120K — $145K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience with shipping production systems
  • Strong understanding of AI tools and technology
  • Comfortable working with loose requirements
  • Excellent problem-solving and product instinct
  • Ability to analyze and discuss technical tradeoffs

Responsibilities

  • Own features from concept to launch within 48 hours
  • Design data models and APIs for integration
  • Monitor the health of your feature area through metrics and feedback
  • Implement features built on LLMs in a regulated environment
  • Ensure compliance with healthcare systems during integration

Benefits

  • Remote-first work culture with flexibility
  • Opportunity to work on cutting-edge AI technology
  • Founding-role equity compensation
  • Access to a collaborative team with startup dynamics
  • Potential for rapid career growth in a fast-paced environment
Full Job Description
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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