Everyone in health AI is chasing scribes and diagnostics. Almost no one is building the longitudinal data layer that captures what actually happens to patients over time. That is the real moat, and we are building it for eye care.
Deya sits between doctor and patient, capturing symptoms, treatments, outcomes and ocular images over time. Clinician-led, piloting with eye doctors, and we hold the largest dataset of eye images captured on smartphones. We build with AI tools daily.
Three roles, all high ownership:
Software Engineer (AI x Healthcare)
- Product and infra from 0 to 1. Next.js, backend, cloud, agentic workflows, longitudinal clinical data.
Mobile Engineer (React Native, Swift, Kotlin)
- A modern phone is already a clinical instrument and almost none of it has been pointed at eye care. Own the app and its UX end to end.
AI Engineer (Computer Vision + LLMs)
- Own the vision pipeline turning phone photos into clinical signal, plus the LLM systems reasoning over patient history.
We have a proprietary clinical dataset and because we control capture, you can improve the data itself rather than model around its limits. Optometrists and ophthalmologists in-house to define ground truth and validate the work. Competitive salary plus equity.
All three roles and apply: https://deya.health/careers/