Senior Software Engineer - Full Stack [NYC or SF]

Concurrence•San Francisco, CA

7d•$220,000 - $260,000•Onsite

About The Position

Concurrence is building a platform that enables healthcare organizations to create clinical AI agents. Its Health World Model unifies health-system data into an event-level record of patient care, while agents support work across the patient journey. The company reports that its agents have supported more than 10 million patient encounters. It has about 35 people and works in person in New York and San Francisco. The Senior Full Stack Engineer will build applications used by clinical teams, researchers, and customers, including real-time oversight of agent conversations, natural-language research over healthcare data, and no-code tools for designing agent behavior. The engineer will own features end to end, from database and schema through API and user interface, in systems that handle sensitive patient data. Correctness and reliability are especially important. The role involves working with designers, clinicians, and customers to refine the product and hardening the performance and reliability of applications clinicians depend on. The role is based on site in New York City or San Francisco.

Requirements

Have shipped production full-stack features end to end and owned their outcomes.
Be strong across the stack, including data modeling, APIs, and modern front-end development.
Prioritize correctness and reliability, especially when handling sensitive data.
Have good product instincts and care about the user experience.
Be low ego, direct, and committed to a high bar.
Be able to work on site in New York City or San Francisco.

Nice To Haves

Experience in a regulated or critical domain with a low margin for error, such as healthcare, finance, or legal.
Experience or familiarity with WebSockets and server-sent events (SSE), on both client and server.
Background with design systems or complex UI state.
Experience with production AI or ML products.

Responsibilities

Build real-time interfaces for clinical oversight of live agent conversations.
Own features end to end, from schema and database through API and user interface.
Design tools that let non-engineers shape agent behavior safely.
Make healthcare data explorable through natural language.
Improve the reliability and performance of applications clinicians depend on.
Work with designers, clinicians, and customers to get product details right.