Staff Full-Stack Engineer — Real-Time Healthcare AI

Concurrence

San Francisco (CA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Daily catered meals
Mental health support
Wellness stipend
Learning budget for courses/conference

Job summary

Concurrence is building the clinical AI infrastructure used across patient care, navigating care journeys from intake to post-visit plans. As a Staff Full Stack Engineer, you’ll own end-to-end features, tackle real-time agent conversations, and enable researchers and clinicians to work with healthcare data safely.

You’ll collaborate with designers and customers to ensure correctness, reliability, and a high bar for performance in systems handling sensitive information.

Qualifications

  • Shipped production full-stack features end to end.
  • Strong across the stack from data modeling to APIs and modern front-end work.
  • You sweat correctness and reliability, especially with sensitive data.

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.
  • Hardening the reliability and performance of applications used by clinicians.
  • Collaborate with designers, clinicians, and customers to refine details.

Skills

Full-stack development
API design
Frontend development
Data modeling
Reliability engineering

Tools

WebSockets
SSE
Design systems
Production AI/ML

Job description

Concurrence is building the clinical AI infrastructure used across patient care, navigating care journeys from intake to post-visit plans. As a Staff Full Stack Engineer, you’ll own end-to-end features, tackle real-time agent conversations, and enable researchers and clinicians to work with healthcare data safely.

You’ll collaborate with designers and customers to ensure correctness, reliability, and a high bar for performance in systems handling sensitive information.

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