Job Description
We are an early-stage, YC-backed AI startup on a mission to transform healthcare by automating prior authorizations and appeals. Our goal is to help providers treat more patients, faster, by eliminating the bottlenecks caused by administrative paperwork. Backed by leading investors and tech executives, we’re building at the intersection of AI and healthcare data—solving one of the most critical problems of our time.
Why This Role Is Exciting
Work directly with the founding team and Fortune 500 healthcare customers.
Build cutting-edge AI products that convert messy, unstructured data into structured, actionable insights.
Join a world-class team of engineers and scientists with backgrounds in top labs, unicorn startups, and global competitions.
Have extreme ownership and visibility as an early employee—your work will directly shape product direction and company growth.
About the Role
We’re seeking an experienced backend product engineer with 1+ years of hands-on experience in architecting, developing, and testing production systems. You should be excited about building complex software from the ground up and comfortable driving key product features from conception to deployment.
Responsibilities
Design, develop, and test robust backend systems powering our AI-driven unstructured data platform.
Own core product features end-to-end, ensuring scalability, performance, and reliability.
Collaborate with the founding team and enterprise customers to deliver impactful solutions that streamline healthcare operations.
Advance the development of our AI agent by transforming messy, unstructured documents into structured data.
Lead initiatives to improve healthcare outcomes, including higher approval rates for prior authorizations.
Optimize and scale systems to process millions of clinical data points while reducing costs.
What We’re Looking For
Strong background in backend development using Python, TypeScript, or Go.
Proficiency with databases (Postgres, MySQL) and cloud platforms (AWS, Azure, GCP).
Experience with containerization/orchestration tools (Docker, Kubernetes).
Bonus points for experience with:
LLMs and Retrieval-Augmented Generation (RAG).
Workflow automation frameworks (Temporal, Puppeteer).
Building in high-growth startup environments.
Full-time, onsite role based in San Francisco, CA.
Tech Stack
Python, TypeScript, Go, LLMs, RAG, Temporal, Puppeteer, Postgres, MySQL, AWS, Azure, GCP, Docker, Kubernetes