Software Engineer, Full Stack

Responsibilities

• Full Stack Product Ownership: Design, develop, test, deploy, and maintain robust and scalable full-stack clinical AI modules in production.
• AI-Native Development: Leverage AI coding tools (e.g., Claude Code, Cursor) to rapidly build end-to-end applications in production quality and AI agents to optimize testing, debugging, and production maintenance.
• Technical Design and Scoping: Partner with product managers, clinicians, data scientists, and other software engineers to integrate AI insights into intuitive clinical workflows.
• Product Quality: Develop comprehensive automated end-to-end tests to ensure platform and application integrity for enterprise health systems and regulatory requirements.

Minimum Qualifications

• BS in Computer Science or other relevant technical discipline.
• 3+ years of experience building and maintaining scalable full stack applications in production using modern front-end technologies (React and Typescript preferred).
• 3+ years experience developing and deploying end-to-end applications on a cloud platform (AWS preferred) powered by relational databases (e.g., Postgresql, MySQL) or cloud-based storages.
• Experience with leveraging AI coding tools (e.g., Claude Code, Cursor, Codex) across design, development, testing, and deployment lifecycle.
• Experience handling ambiguity and uncertainty in a startup.

Preferred Qualifications

• Experience shipping AI/ML products in healthcare and/or at startups.
• Experience working cross-functionally with clinicians to align on workflow and product functionality expectations.
• Experience with health data, integration with electronic health records (EHR) systems, and health IT interoperability standards.