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 Software Engineer at Amigo, you'll take on the hardest technical problems in the platform behind our AI agents. You'll set the architecture that other engineers build on, own problems that start out ambiguous, and shape how the team builds. The team is small, so the work you do here carries a long way.
We care about depth and judgment more than any particular stack. Whether your background leans full-stack, backend, infrastructure, or data, there is hard work here that needs an owner.
What you might work on
Designing the systems that keep AI agents reliable and safe in production healthcare
Owning a hard, ambiguous problem and carrying it through to a shipped system
Setting the patterns and standards the rest of engineering builds within
Making platform-level calls about what to build, what to buy, and what to cut
Digging into the hardest reliability, performance, or data problems we have
Mentoring senior engineers
You may be a fit if
You've designed and delivered complex systems end to end, and other engineers have built on top of your work
You're deep in at least one area (full-stack, backend, infrastructure, or data) and can range across the others
You care about whether systems hold up in production
You know when to simplify, and you think about direction before speed
You're low ego, direct, and hold yourself to a high bar
You can work hybrid out of our New York City office, or fully remote
Nice to have
Experience in a regulated or high-reliability domain (healthcare, finance, legal)
Experience with production AI or ML systems
Background with high-scale data systems or infrastructure
Experience mentoring or leading engineers
Benefits (available to Full-Time Employees)Health & Wellness
Comprehensive health, dental, and vision insurance
Daily catered lunch and dinner
Mental health support and wellness coaching
Flexible wellness stipend for fitness, therapy, or personal growth
Annual learning budget for courses, books, or conferences
Conference attendance budget for professional development
Annual team offsite
Academic collaboration opportunities
Unlimited PTO
Patients Win, We Win
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.
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.
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.
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.
Low ego: Politics and territory don't interest you. The best ideas win, regardless of who has them.
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.
Skills Required
- Designed and delivered complex systems end-to-end that others build on
- Deep expertise in at least one area: full-stack, backend, infrastructure, or data
- Experience ensuring systems hold up in production (reliability, performance, data)
- Good judgment: know when to simplify and think about direction before speed
- Low ego, direct communication, and high personal standards
- Ability to work hybrid out of New York City office or fully remote
- Experience in a regulated or high-reliability domain (healthcare, finance, legal)
- Experience with production AI or ML systems
- Background with high-scale data systems or infrastructure
- Experience mentoring or leading engineers
What We Do
Amigo AI builds trust and safety infrastructure for clinical agents—ensuring AI systems in healthcare provide quantified confidence when mistakes aren't an option. Our platform combines advanced simulation, verification, and recursive optimization to enable healthcare organizations to deploy AI with statistical guarantees about its behavior. We solve the fundamental challenge of reliable AI in critical domains through deterministic verification for clinical protocols and continuous drift detection for real-world performance. Our systems provide complete transparency—every AI decision is traceable and auditable, with quantified confidence intervals rather than black box predictions. Founded by technologists from Google, Meta AI, Databricks, Coda, and Plaid, we've built systems that let organizations make informed risk decisions about AI deployment in healthcare. Our interdisciplinary approach draws from computer science, economics, physics, and mathematics to tackle human-centric optimization problems where people and populations are at the center of every solution. We're actively working with healthcare organizations across digital health, cancer care, cardiac care, and personalized medicine to deploy AI systems that continuously learn and adapt from real-world feedback while maintaining verified safety boundaries. Our technology amplifies human expertise rather than replacing it, empowering domain experts to achieve outcomes neither could accomplish alone.
Why Work With Us
We build AI healthcare systems where 99% isn't good enough. Rapid growth—promotions in 3 months. Freedom to work your way: art museums or late nights. Tackle recursive optimization problems that ship to production. Your work directly impacts critical healthcare decisions. Diverse team from Google, Meta AI, Databricks solving problems that matter.
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