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Concurrence

Builds AI agents that handle patient intake and triage

Staff Software Engineer - Backend/Infrastructure

Backend EngineeringConfirmed live in the last 24 hours
Full-time$260k - $300k /yr

About the Job

Requirements

  • Built and operated production backend systems at scale and owned their outcomes.
  • Strong knowledge of concurrency, distributed systems, and service design.
  • Able to develop simple, maintainable solutions to difficult problems.
  • Able to debug across services, queues, and databases.
  • Able to work on site in New York City or San Francisco.

Responsibilities

  • Design high-throughput services that handle concurrent conversations at scale.
  • Own a core platform service from design through production.
  • Build systems that remain available and degrade gracefully when failures occur.
  • Handle sensitive healthcare data appropriately.
  • Improve performance, observability, and operational health across services.
  • Shape architectural decisions as the platform grows.
  • Think carefully and holistically about system design under time pressure.

Desired Qualifications

  • Experience in a regulated or high-reliability domain such as healthcare, finance, or legal.
  • Experience with high-throughput or low-latency system design.
  • Experience with production AI or machine learning systems.

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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