The role
- COMP
- $160K - $200K
- EQUITY
- 0.20-0.50%
- LOCATION
- South Bay Area
- WORKPLACE
- On-site
- EXPERIENCE
- 3+ years
- VISA
- None
- STACK
- Python
- INDUSTRY
- Healthcare, AI, Fintech
/roles — ROLE_392
Founding Engineer, Applied Research
Seed-stage company building AI that understands clinical and billing data to speed up healthcare payments
The company
A seed-stage healthcare AI company that reads clinical and billing records to cut administrative work between payers and providers, from claims and prior authorizations to denials and appeals.
- STAGE
- Series A-stage
- FUNDING
- $6M raised
- TEAM
- founding team of <10
- FOUNDED
- 2025
- BACKING
- VC-backed
JD — the work
About the role
This applied research role advances the clinical intelligence at the center of the product. You would take open-ended healthcare AI problems, scope them tightly, solve them, and ship the results to production, working on evals, fine-tuning, agent systems, and models that drive browsers and computers. The company is seed-stage, backed by top-tier venture firms, and focused on bringing AI to the administrative side of healthcare payments, an area that badly needs it.
What you'll do
- Design clinical evals measuring how models read charts, review claims, apply authorization rules, analyze denials, and interpret payer policy
- Raise model quality with better prompts, fine-tuning, retrieval, and structured reasoning, tested on actual clinical and financial records
- Develop agents that operate browsers and desktop apps to work through payer websites, EHRs, and other clinical software
- Convert what customers report from real workflows into tightly scoped research questions, then put the answers into production
- Work with backend and customer-facing engineers to get research gains into the product quickly
What they're looking for
- 3+ years of experience in research engineering or applied ML
- A track record of scoping open-ended problems and shipping the solutions to production
- Hands-on work with LLM evaluation, fine-tuning, retrieval, or agentic systems
- Strong Python skills for research and production code
- Readiness to work on-site in the South Bay