Senior Full-Stack Engineer

Reposted 12 Days Ago
New York City, NY, USA
In-Office
220K-300K Annually
Senior level
Artificial Intelligence • Enterprise Web • Healthtech • Software
Building healthcare AI systems organizations stake their reputations on—trust & safety infrastructure for clinical agent
The Role
As a Senior Full-Stack Engineer, you will build applications for clinical operations, design APIs, implement real-time interfaces, and collaborate with teams on patient data management.
Summary Generated by Built In
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 Senior Full-Stack 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 New York City

 

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

 

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
  1. 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.

  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.

  3. 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.

  4. 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.

Skills Required

  • 4+ years of production full-stack engineering experience
  • Strong React/TypeScript skills with modern patterns
  • Experience building Python backend services and REST APIs
  • Deep understanding of real-time systems
  • Experience with relational databases and query optimization
  • High standards for code quality and system reliability
Am I A Good Fit?
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The Company
HQ: New York, New York
30 Employees
Year Founded: 2024

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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