Staff Full-Stack Engineer

Reposted 15 Days Ago
New York City, NY
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
The Staff Full-Stack Engineer will lead the technical direction for healthcare AI applications, ensuring system reliability, mentoring engineers, and setting engineering standards.
Summary Generated by Built In


About Amigo

Amigo builds AI agents that deliver healthcare autonomously—AI doctors, AI nurses, and AI care coordinators. Our agents handle clinical workflows and patient engagement across the entire patient journey: pre-visit intake, triage, care navigation, post-visit care plans, side effect management, and medication adherence. Context-aware with memory across sessions and the ability to take clinical action.

We own outcomes, not just delivery. For our customers, we're responsible for agent performance: clinical safety, continuous improvement, measurable patient outcomes. Agents operate autonomously within bounded clinical domains, with clear scope and handoff protocols. That scope expands as we validate performance across populations.

We're fresh off our Series A from Tier 1 investors like General Catalyst, GSV Ventures, SVA, and CohoVC. Our work is validated with leading academic medical institutions. We're currently reaching 1M+ patient interactions every 90 days, and are on track to 10x this year.


About this role

As a Staff Full-Stack Engineer at Amigo, you'll own the technical direction of the foundational applications that power clinical operations. Three products: Control Center for real-time oversight of agent conversations, Research Platform for natural language queries over healthcare data, and Agent Forge for designing agent behavior without code.

You'll drive architecture decisions, establish engineering standards, and build systems that scale. These applications handle sensitive patient data and support clinical workflows—correctness and reliability are non-negotiable. You'll mentor engineers, shape technical culture, and ensure we maintain elite engineering standards as the team grows.


What you'll do
  • Own technical architecture and system design across Control Center, Research Platform, and Agent Forge

  • Drive engineering standards for code quality, testing, observability, and incident response

  • Architect real-time systems for clinical oversight—streaming conversations, escalation workflows, audit trails

  • Design the technical approach for natural language queries over healthcare data

  • Architect no-code tools that enable non-engineers to design and configure agent behaviors

  • Design APIs, data models, and caching strategies that support real-time streaming, voice, and multi-channel communication at scale

  • Own authentication, authorization, and audit logging architecture for healthcare compliance

  • Make build vs. buy decisions and evaluate technical tradeoffs across the platform

  • Mentor engineers and establish patterns that raise the bar for the entire team

  • Collaborate with agent engineers, clinicians, and customers to understand complex workflow requirements

  • Define and maintain shared component libraries, design system, and development infrastructure


What we're looking for
  • 7+ years of production full-stack engineering experience, with significant time at elite engineering organizations

  • Expert-level React/TypeScript skills with deep understanding of performance, rendering, and state management

  • Strong experience building Python backend services, REST APIs, and distributed systems

  • Proven track record designing systems that scale—you've built and operated high-traffic production applications

  • Deep understanding of real-time systems (WebSockets, streaming, event-driven architectures)

  • Experience with relational databases, data modeling, query optimization, and caching strategies

  • History of establishing engineering standards and mentoring engineers

  • Extremely high standards for code quality, reliability, and operational excellence

  • Both execution-oriented and defensive-minded: you ship fast while anticipating failure modes

  • Strong product instincts—can translate ambiguous requirements into robust technical solutions

  • Excellent written and verbal communication across engineering and executive stakeholders


Nice to have
  • Experience with healthcare applications or regulated industries (HIPAA, SOC 2)

  • Background with voice/telephony systems or real-time communication protocols

  • Experience building no-code/low-code platforms or developer tools

  • Track record building and scaling engineering teams

  • Understanding of accessibility requirements for clinical software

  • Experience with mobile development (React Native, iOS, Android)


Benefits


Health & Wellness
  • Comprehensive health, dental, and vision insurance

  • Mental health support and wellness coaching

  • Flexible wellness stipend for fitness, therapy, or personal growth

  • Daily catered lunch and dinner


Growth & Development
  • Annual learning budget for courses, books, or conferences

  • Conference attendance budget for professional development

  • Development setup of your choice

  • Academic collaboration opportunities

Top Skills

Caching Strategies
Python
React
Relational Databases
Rest Apis
Typescript
Websockets
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The Company
HQ: New York, New York
20 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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