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Amigo is hiring a Staff Application Engineer to build real-time interfaces for clinical oversight, NLP-driven data exploration, and design-time tooling for agent behavior without code. Youll own features end to end, from database schemas to UI, in systems handling sensitive patient data with a high bar for correctness.
Youll collaborate with clinicians, designers, and customers to refine details, ship production features across the stack, and ensure reliability and performance in critical
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.
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.
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.
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.
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.
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.
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.
Compensation Range: $260K - $300K