Founding Engineer - Healthcare AI

Andy completes clinical documentation for nurses who do home visits.

Home health nursing is a $250B industry, where 40% of revenue is spent on administrative tasks. Within 5 years, every nursing note will be done by purpose-built AI.

• Andy saves nurses 20+ hours per week
• Nursing agencies hire us to solve labor shortage, reduce churn and slash admin cost
• Double-digit MoM growth (mostly word-of-mouth & some outbound); near-perfect retention

We’re a small team of engineers (Google/Apple) & clinicians, passionate about improving healthcare in a focused and meaningful way.

What you’ll do

You’ll develop AI that reads complex, multi-modal data (text, image, audio) and generates accurate, home-health-specific documentation.

• Structure highly heterogeneous healthcare data using frontier models
• Enhance models through detailed failure analysis and rapid iterations
• Design human-review processes to generate high-quality ground truth
• Get creative & experiment relentlessly

Bonus: learn medicine & see how money flows in healthcare.

Who you are

You are a strong AI engineer who takes end-to-end ownership from idea to launch.

• Strong foundation in AI
• Hands-on experience building with LLMs
• Excited to build in healthcare
• Proficient in Python & Typescript

Who we are

• Tiantian
  • Prev. PM at Google’s healthcare division
  • Launched world’s first ever mosquito factory to eliminate Dengue (yes, it works!)
• Sam
  • Built Google Photos from 0 to 1B; tech lead for Photos Android (100+ eng)
  • Prev engineer at Bump (Sequoia) / Convex (a16z)
• Sarah
  • Prev. administrator of home health agency
  • Led a 4.5-star agency (read: she’s *really excellent* at documentation)

Interview Process

1. Intro - Zoom meeting with Tiantian (CEO)
2. Technical - Zoom meeting with Sam (CTO)
3. Work trial - Paid project, in person in SF

How to apply: I want to hear about your proudest achievement! Let me know in 1-2 sentences :)