About the job Full Stack Engineer (Junior)
Job Description:
Seniority
0+ years of experience in full-stack application engineering.
Work experience
Experience and proficiency across the full stack (up to 70/30 split either way).
Experience working directly with customers to define product features.
Experience as a Founder on a product that gained some traction (even if ultimately failed).
Education
Computer Science degree.
Graduated from a top-tier Computer Science program.
Hard skills
Proficient with AI tools (e.g., Copilot, Cursor) in daily workflow.
Experience with React, Node.js/Python, and Postgres.
Soft skills
High agency, customer-obsessed, biased toward action and excited to work in an early stage startup environment.
Miscellaneous
Demonstrated 'spike' in one area (e.g., top-tier school, internships, startup experience, active GitHub etc.).
Why candidates should join
We build the compliance layer for healthcare companies - helping billion-dollar insurers and health plans analyze regulations and automate compliance with AI. They're fixing the 30% of US healthcare costs that go to administration.
They're the fastest-growing company in this space and tripling revenue quarter over quarter. You'll work directly with founders in a high-growth environment where your work impacts closing deals with billion-dollar enterprises.
Full-Stack Engineer role with up to 1% equity - incredibly compelling for a Series A business. You'll work directly with founders, own projects end-to-end, and ship AI-driven features that rewrite how the industry works.
About this role
We are looking for Full Stack Engineers across a broad range of experience levels from new grads to senior engineers. We are looking for high-agency, customer-obsessed, and intellectually humble individuals who are driven to take ownership and build systems that matter. You will be instrumental in building the future of healthcare compliance AI.
What you will do:
- Own and ship product features, working across the stack from front-end flows to backend APIs and AI model integrations.
- Translate messy customer problems into elegant product experiences.
- Partner directly with customers for discovery, iteration, launch, and support.
- Make smart tradeoffs between speed, scope, and stability in a hyper-growth environment.