Software Engineer, Full Stack
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Job Description
Software Engineer developing full-stack clinical AI/ML products at Bayesian Health. Collaborating with cross-functional teams to improve patient outcomes in healthcare.
Responsibilities:
- Design, develop, test, deploy, and maintain robust and scalable full-stack clinical AI modules in production.
- Leverage AI coding tools (e.g., Claude Code, Cursor) to rapidly build an end-to-end application in production quality grade and AI agents to optimize testing, debugging, and production maintenance.
- Partner with product managers, clinical, data scientists, and other software engineers to integrate our AI insights into intuitive and seamless clinical workflows.
- Develop comprehensive and robust automated end-to-end tests to ensure platform and application functional integrity, meeting the requirements of enterprise health systems and regulatory.
Requirements:
- BS in Computer Science or other relevant technical discipline.
- 3+ years of experience building and maintaining scalable and reliable full stack applications in production using modern front-end technologies (React and Typescript preferred).
- 3+ years experience in developing and deploying end-to-end applications on a cloud platform (AWS preferred) powered by relational databases (e.g., Postgresql, MySQL, etc.) or cloud-based storages.
- Experience with leveraging AI coding tools (e.g., Claude Code, Cursor, Codex) across the design, development, testing, and deployment lifecycle.
- Experience handling ambiguity and uncertainty in a startup.
- 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.
Benefits:
- Equal employment opportunities to all employees and applicants for employment
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