Staff Software Engineer

Requirements

• 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
• Growth & Development
• Annual learning budget for courses, books, or conferences
• Conference attendance budget for professional development
• Annual team offsite
• Academic collaboration opportunities
• Unlimited PTO
• Our Core Values
• 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.
• Who Builds With Us
• 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.

Benefits

Additional Information

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. 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 San Francisco office, or fully remote

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