We help medical schools and hospitals train students and doctors. For example, medical students practice on our AI simulations before they see live patients.
TL;DR: We’re looking for someone who can craft AI-powered applications from the ground up, using Next.js, Node, Supabase, and AWS. You’ll be building ai sims for healthcare students and workers to talk to—and get instant, data-driven insights.
Healthcare training is stuck in a major rut using outdated methods that don't work anymore. Sim Care AI is here to change that. We’re creating AI patients for clinical training across both education and industry. Think of it like having an unlimited supply of diverse patients, each conversation meticulously analyzed for teaching moments. The result? Next-gen training that’s more engaging, adaptive, and useful.
We’re not just building a product. We’re reimagining how doctors, nurses, and clinicians learn and refine their skills. That means plenty of complex LLM magic under the hood, a constantly evolving feature set, and the chance to directly impact how healthcare works.
Apply now—and let’s see if we can build the future of medical education together.
We build AI patients primarily using LLMs but also VLLMs, text to speech and vision models. A big part of what we do involves making the patients more intelligent, more realistic, and medically accurate - this involves lots of algorithmic thinking as well as fine tuning for the LLMs. The patients exist within a simulated environment which is built on Astro and Node.
Three Step Process
fulltimeSan Francisco, CA, US / Remote (US)$75K - $130K0.10% - 0.50%1+ years
fulltimeSan Francisco, CA, US / Remote (US)Full stack$90K - $180K0.50% - 2.00%1+ years
fulltimeSan Francisco, CA, USFull stack$120K - $200K0.50% - 2.00%3+ years