Amigo builds AI agents for healthcare. For managed service customers, we are responsible for maintaining and uplifting agent performance, ensuring clinical safety and continuous improvement of patient outcomes.
Our agents operate autonomously within bounded clinical domains. Clear inclusions, exclusions, and handoff protocols. The scope of autonomous operation expands over time as we validate performance across patient populations.
The platform handles both clinical workflows and patient engagement at scale: post-discharge monitoring, intake, medication adherence, care gap closure, and more. Context-aware agents with memory across sessions and clinical action capabilities.
Series A from leading investors. Clinical validation and evidence generation in partnership with leading academic medical institutions.
About this roleAs 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 doOwn 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
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
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)
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
Annual learning budget for courses, books, or conferences
Conference attendance budget for professional development
Development setup of your choice
Academic collaboration opportunities
Top Skills
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.
