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