Full-Stack Engineer (Healthcare)

About Clara

AI primary care doctor

Tech

Modern full-stack: React + TypeScript frontend, Python API functions on Vercel (serverless), AWS cloud services, frontier LLMs with proprietary prompts and tool calls.

The role

Clara is building the first AI-first medical practice from the ground up. Unlike most health AI startups, we deliver actual care: our clinicians write prescriptions, order labs and manage patients, supervised by human providers who review every medical decision. Clara's founders built and scaled Circle Medical to over $100M in revenue, and we are funded by Y Combinator and top investors.This is a mission-driven, high-performance team working in person in San Francisco five days a week. We will assist with relocation and work visas for the right candidate.## What you'll buildYou'll own product surfaces end to end: the patient app, the clinician-facing EHR, the API underneath them, and the seams where our LLM agent meets a real person. A typical month touches a React screen a patient sees, the Django endpoint behind it, the Celery job that follows up, the Amplitude event that tells us whether it worked, and the review queue a nurse practitioner uses to approve what the AI proposed. You'll write the code, ship it, wire the events, read the results and fix what they tell you.## Your responsibilities**Product engineering (60%)**- Ship features across the patient app, staff EHR, and backend (React + TypeScript front end, Django on PostgreSQL)- Build the surfaces where the AI agent meets people: streaming chat, tool-call results, clinician review and approval flows- Design onboarding that gets patients to first real value fast, then to habitual use- Own the mobile shell (Capacitor, iOS and Android) alongside the web app- Instrument what you ship (Amplitude) and read the results, so the next iteration is driven by what patients and clinicians actually did**Platform and integrations (40%)**- Own integrations with the services a medical practice runs on: Stripe, Twilio, medical-records APIs, Customer.io, identity verification- Model clinical data in PostgreSQL so the product and the AI can reason over it- Keep the system observable and safe: Sentry, Datadog, audit trails, HIPAA-conscious data handling- Continuous integration and delivery; improve the developer loop (Tilt, mise, hk) as you go- Build the internal tooling and background jobs that keep a medical practice running between patient visits## How we level this roleOne posting, two seats. We decide the level from what you have shipped, not from the title on your last business card.| Level | Typical profile | What we expect on day one || ----- | --------------- | ------------------------- || **Software Engineer** | 2+ years, has shipped React + TypeScript and a typed backend to real users | Ships well-scoped features end to end with review; learns the clinical domain fast || **Senior Engineer** | 5+ years, has owned a product area in production | Owns a domain (EHR, onboarding, integrations) end to end; makes and defends architecture calls; early hires grow into engineering management as the team scales |Compensation tracks the level: **$130K – $210K base · 0.10% 0.40% equity · health insurance and standard benefits.**## What we're looking for**Required at every level:**- React + TypeScript in production, with users you can name- A typed backend language in production; Python preferred, Django a plus- Relational data modelling and SQL; you have designed a schema and lived with it- You have shipped, owned the result, and can tell a story about something that broke and what you changed- AI-native: you use Claude, Cursor or similar every day and can say what it is bad at- Care about correctness and safety in a domain where mistakes reach patients**Additionally at Senior:**- Owned a product domain end to end, including the on-call and the roadmap- Led a migration or re-architecture in a live system without breaking it for users- Raised the bar for the engineers around you: reviews, patterns, mentoring**Nice to have:**- Healthcare or HIPAA experience; FHIR familiarity- Django / Django Ninja, Celery, PostgreSQL JSONB- Capacitor or native mobile- Product analytics and experimentation (Amplitude or similar)- LLMs as a production tool: content, creative, internal tooling, or building on top of an agent## What Clara offers- Ship code that affects real patient health outcomes, and talk to real patients and providers regularly- Make architectural decisions for an AI-first medical practice, working directly with the founders and CTO- Ownership of entire domains (product, platform, integrations), and a path into engineering management as the team scales- In-person collaboration in San Francisco, five days a week; no bureaucracy, ship fast## About the interview1. Intro call (30 min): meet the founding team, learn about Clara's mission2. Technical screen (60 min): a full-stack pairing problem, leveled to the seat3. Onsite (4 hours): system design, code pairing, team fit4. Reference checks and offer