Senior Software Engineer (Full-Stack) — Healthcare

Senior Software Engineer (Full-Stack) — Healthcare AI

San Francisco, CA | Hybrid | Full-Time

Build the Future of Healthcare AI

We are hiring Senior Software Engineers (5–10+ years) to join a lean, high-ownership engineering team building the next generation of AI-powered healthcare products.

This is a backend-leaning full-stack role for engineers who thrive in early-stage startups, move quickly, and want significant ownership over Generative AI, LLM-powered workflows, scalable backend systems, and zero-to-one products.

What You'll Do

• Build and scale production backend services and infrastructure using Python.

• Develop LLM and Generative AI-powered workflows and applications.

• Own projects end-to-end — from MVP/prototype to production.

• Design reliable, secure, observable, and scalable systems.

• Improve backend architecture, performance, testing, and code quality.

• Collaborate directly with engineers and the CTO in a flat, fast-moving team.

Must-Have Qualifications

• 5–10+ years in backend-focused or full-stack software engineering.

• Strong Python backend development experience.

• Proven experience in an early-stage startup (Pre-Seed to Series B).

• Demonstrated ability to own complex projects and ship quickly.

• Strong software architecture, debugging, communication, and problem-solving skills.

• Evidence of technical excellence through strong engineering achievements, leadership, high-growth startup experience, competitive programs, or similar accomplishments.

Strong Plus

• Production experience with LLMs, Generative AI, AI agents, or AI-powered applications.

• Healthcare / HealthTech / Digital Health experience.

• Experience with TypeScript, React, React Native, AWS, Docker, PostgreSQL, and/or MongoDB.

Tech Stack

Python • TypeScript • React • React Native • AWS • Docker • PostgreSQL • MongoDB • LLMs / Generative AI

Ideal Candidate

You are a hands-on senior engineer, not just a manager. You can understand and explain your code, make sound technical decisions, operate with limited supervision, and turn ambiguous problems into production-ready solutions.

Startup experience is highly preferred. Candidates whose experience is exclusively at large enterprises may not be a fit unless they have worked in a highly autonomous, startup-like environment.

Work & Compensation

• Location: San Francisco, CA

• Work Model: Hybrid — 3 days in office

• Employment: Full-Time

• Visa Sponsorship: Not available — candidates must already have unrestricted U.S. work authorization.

Healthcare AI Backgrounds We Like

Experience with companies such as Ambience Healthcare, Notable, or comparable Healthcare AI, Digital Health, HealthTech, and AI startups (Seed–Series C) is highly relevant.

Ready to build AI that improves healthcare? Apply now.