Senior Full-Stack Software Engineer, Clinical Intelligence
We’re looking for our next bold leader – a Senior Full-Stack Software Engineer, Clinical Intelligence – to join our quest to provide market-transforming solutions for businesses, care teams and consumers to interactively manage health and care.
At Medecision, you’ll have the chance to work with people that have incredible intellect, who are hard-wired for problem-solving. You’ll also know that you’re making a real difference, and not just in some abstract, corporate-mission-statement kind of way. We’re working with companies that touch millions of lives every day, maybe even saving a few along the way. Each person contributes uniquely to our mission and our ability to raise the level of experience we provide to all our customers and colleagues. The Senior Full-Stack Software Engineer on the Clinical Intelligence team plays a pivotal role in designing, building, and evolving the microservices backbone and React microfrontend UI layer of our care intelligence platform — spanning real-time rule execution, automated workflow processing, journey management, and the AI-native services that power clinical decision-making. They also serve as a key practitioner in Medecision's AI-native SDLC, leveraging Claude Code and AI agents to accelerate development, code review, and documentation at scale.
What We're Looking For
To be successful at Medecision the Senior Full-Stack Software Engineer, Clinical Intelligence will demonstrate a true passion for building reliable, scalable, and secure full-stack systems in a regulated healthcare environment. They will share our passion for driving improvements in healthcare.
This role sits at the frontier of Medecision's agentic platform. The ideal candidate does not just use AI tools but actively builds with them: designing MCP-wrapped APIs that safely expose clinical platform capabilities to AI agents, contributing to agent orchestration pipelines, and enforcing rigorous guardrails for PHI handling, access controls, and audit logging across every agentic workflow. They internalize the idea that agents' toil belongs to agents and humans' critical decisions belong to humans, and they architect systems that maintain that boundary.