Founding Engineer
Own entire products end-to-end at a well-funded AI startup automating the workflows that currently require hundreds of human workers inside the largest hospital systems in the US. Multimodal AI agents across browser, voice, text, and APIs — replacing legacy revenue cycle operations at scale.
AI Agents Replacing Manual Healthcare Operations
A well-funded, early-stage AI startup founded in 2024 by engineers with deep experience at high-profile defense tech, infrastructure, and AI companies — combined with real operational experience inside major US health systems and insurance companies.
The company automates end-to-end revenue cycle workflows — benefit verification, prior authorization, patient payments, and denials — using multimodal AI agents across browser, voice, text, and API channels. These workflows currently require hundreds of human workers at large hospital systems.
What You’ll Build
You’ll own entire products end-to-end — from design through deployment — working directly with health system operators and shaping the core agent platform.
- Build multimodal AI agents (browser, voice, text, APIs) that outperform human workers at complex healthcare workflows
- Work directly with health system operators to deploy solutions and drive measurable financial impact
- Design rigorous evaluation frameworks to systematically measure and improve agent quality across every customer
- Identify cross-customer patterns that guide the agent platform strategy and integrate the latest AI advancements
- Build the agent infrastructure layer — context engineering, tool orchestration, memory, and evals — across the entire healthcare revenue cycle
Stack & Tools
What They’re Looking For
- At least one company on your resume known for strong engineering talent (internships acceptable for earlier career tenures)
- Ability to spend significant time in San Francisco (remote-flexible, but SF presence is required)
- 1–8 years of experience as a full-stack or product engineer, currently in an active IC engineering role
- Proficient in Python or TypeScript
- Experience with cloud platforms — AWS, GCP, or Azure
- Visible career velocity — fast promotions or clearly increasing scope across roles
- Experience shipping product features end-to-end with real user impact
- Customer-facing or operator-facing engineering experience
- Degree from a strong engineering program (Georgia Tech, Berkeley, UIUC, Waterloo, or equivalent)
- Experience with LLMs, voice AI, or agent systems
Compensation & Perks
$170,000 – $250,000 base salary with 0.5% – 1.5% equity. This is genuine founding-team equity — not options priced after growth.
Interview Process
Non-Technical Intro Call
Role alignment and background overview
Technical Phone Screen
Engineering depth and problem-solving
Project-Based Assessment
Practical build or take-home challenge
Founder Call
Cultural fit and company vision