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Concurrence

Builds AI agents that handle patient intake and triage

Senior Full-Stack Software Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-time$220k - $260k /yr

About the Job

Requirements

  • You have shipped production full-stack features end to end and owned the outcome.
  • You are strong across the stack, from data modeling and APIs to modern front-end work.
  • You sweat correctness and reliability, especially where sensitive data is involved.
  • You have good product instincts and care how things feel to use.
  • You can work on site in New York City or San Francisco.

Responsibilities

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

Desired Qualifications

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

About the Company

Concurrence

Builds AI agents that handle patient intake and triage

Concurrence builds AI agents that automate patient-facing clinical workflows like intake, triage, 24/7 care navigation, and post-visit support. The agents are trained on a proprietary “digital residency” model using millions of simulated patient scenarios, achieving a 100% safety pass before real-patient use, and they operate within a shared Health World Model that includes configured workflows, supervision, and outcome evaluation. The platform natively integrates with major EHRs (Epic, Oracle, Athenahealth) in over 100 languages, and has logged over 3 million autonomous patient encounters without safety incidents. The goal is to extend healthcare teams and care capacity by scaling AI-enabled care within existing IT ecosystems while meeting regulatory requirements.

Company size
51-200
Company stage
Series A
Total funding
$11M
Headquarters
New York City, New York
Founded
2023

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