Staff Software Engineer - Application NYC or SF - amigo

Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journey: pre-visit intake, care navigation, post-visit care plans, patient monitoring, and more.

We're fresh off our Series A backed by Tier 1 investors like Madrona, General Catalyst, and Optum Ventures. Our work is validated with leading academic medical institutions. Our agents have reached 3M+ patient encounters and are on track to 10x this year.

ABOUT THIS ROLE

As a Staff Application Engineer at Amigo, you'll build the applications that clinical teams, researchers, and customers use every day: real-time oversight of live agent conversations, natural language research over healthcare data, and tools for designing agent behavior without code.

You'll own features end to end, from the database to the UI, in systems that handle sensitive patient data. The bar for correctness and reliability is high.

WHAT YOU MIGHT WORK ON

• 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

YOU MAY BE A FIT IF

• You've shipped production full-stack features end to end and owned the outcome
• You're 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're low ego, direct, and hold yourself to a high bar
• You can work on site in San Francisco

NICE TO HAVE

• Experience in a regulated or high-reliability domain (healthcare, finance, legal)
• Experience with real-time or streaming interfaces
• Background with design systems or complex UI state
• Experience with production AI or ML products