Staff Full-Stack Engineer — Health AI, Real-Time (NYC/SF)

Concurrence; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Health insurance

Catered meals

Mental health support

Wellness stipend

Learning budget

Conference budget

Annual team offsite

Academic collaboration

Unlimited PTO

Job summary

Concurrence is building clinical AI infrastructure used by health systems, researchers, and care teams. We’re hiring a Staff Full Stack Engineer to own end-to-end features—from database to UI—for real-time oversight of live agent conversations and healthcare NLP research.

On-site in New York City or San Francisco, you’ll collaborate with designers, clinicians, and customers to ensure reliability, safety, and high-quality user experiences with sensitive patient data.

Qualifications

• Shipped production full-stack features end to end.
• Strong across the stack: data modeling, APIs, and modern front-end.
• Sweat correctness and reliability with sensitive data.
• Good product instincts and care how things feel to use.
• Low ego, direct, and hold yourself to a high bar.
• On-site in New York City or San Francisco.

Responsibilities

• Building real-time interfaces for clinical oversight of live agent conversations
• Owning a feature end to end, from schema to API to UI
• Designing tools that let non-engineers shape agent behavior safely
• Making healthcare data explorable through natural language
• Hardening the reliability and performance of applications clinicians depend on
• Working with designers, clinicians, and customers to get the details right

Skills

Full-stack development

API design

Frontend development

Data modeling

Reliable systems

Cross-functional collaboration

Tools

WebSockets

SSE

Design systems

AI/ML products

Job description

Concurrence is building clinical AI infrastructure used by health systems, researchers, and care teams. We’re hiring a Staff Full Stack Engineer to own end-to-end features—from database to UI—for real-time oversight of live agent conversations and healthcare NLP research.

On-site in New York City or San Francisco, you’ll collaborate with designers, clinicians, and customers to ensure reliability, safety, and high-quality user experiences with sensitive patient data.