Full Stack Engineer

• 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, * Daily catered lunch and dinner
• Mental health support and wellness coaching
• Flexible wellness stipend for fitness, therapy, or personal growth

Growth & Development

• Annual learning budget for courses, books, or conferences
• Conference attendance budget for professional development
• Annual team offsite
• Academic collaboration opportunities
• Unlimited PTO, If patients aren’t getting better care, we haven’t earned the right to scale. Every internal decision gets pressure-tested: does this make patients’ lives better? If we can’t draw the line, we question why we’re doing it. 2. High Standards, High Care We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas-not despite our standards, but because of them.

1. Thoughtful Urgency We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both.

2. Intensely Measured We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we’re measuring something but never acting on it, we stop measuring it.

• 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 New York City or San Francisco, * Experience in a regulated or critical, low margin for error domain (healthcare, finance, legal)
• Experience and familiarity with WebSockets, SSE client and server implementations
• Background with design systems or complex UI state
• Experience with production AI or ML products

• Direct: You say the hard thing, challenge ideas openly, and commit fully once decided.
• High agency: You thrive on trust rather than instruction. When you see something is broken, you fix it. You don’t file tickets and wait for someone else.
• Bar of excellence: You hold yourself to a bar most people wouldn’t, and you want teammates who do the same.
• Skeptical: You push back on rules that don’t make sense and question assumptions that haven’t earned their place.

About 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.