Full-Stack Engineer (Healthcare)

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 build You'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 role One 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 interview 1.

Intro call (30 min): meet the founding team, learn about Clara's mission 2. Technical screen (60 min): a full-stack pairing problem, leveled to the seat 3. Onsite (4 hours): system design, code pairing, team fit 4. Reference checks and offer