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Mid-Level Full-Stack Engineer

Amigo

New York City, New York, United States permanent

Posted: March 10, 2026

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Quick Summary

Mid-Level Full-Stack Engineer with experience in deploying robust AI infrastructure for healthcare organizations, working with clinical workflows and patient engagement across the entire journey.

Job Description

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 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 backed by Tier 1 investors like General Catalyst, GSV Ventures, SVA, and CohoVC. 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 Full-Stack Engineer at Amigo, you'll build 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 own significant features—from database schema to API to UI—across systems that handle sensitive patient data at scale. These applications are how clinical teams, researchers, and customers interact with our platform daily. High standards for correctness and reliability are expected.

What you'll do

• Build and ship features across Control Center, Research Platform, and Agent Forge

• Design and implement real-time interfaces for clinical oversight—streaming conversations, escalation workflows, audit trails

• Create natural language query interfaces over healthcare data with appropriate certainty and feasibility indicators

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

• Implement responsive, accessible UIs that work across desktop and mobile for clinical users

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

• Build authentication, authorization, and audit logging for healthcare compliance

• Optimize performance for applications handling high-volume clinical data

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

• Contribute to shared component libraries and design system

What we're looking for

• 2+ years of production full-stack engineering experience at high-caliber teams

• Strong React/TypeScript skills with modern patterns (hooks, server components, state management)

• Experience building Python backend services and REST APIs

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

• Track record of owning features end-to-end from design through deployment

• High standards for code quality, testing, and system reliability

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

• Strong product instincts—can translate user needs into elegant technical solutions

• Experience working in fast-moving environments with evolving requirements

• Clear communication across engineering and non-technical stakeholders

Nice to have

• Experience with healthcare applications or regulated industries

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

• Familiarity with data visualization and analytics dashboards

• Understanding of accessibility requirements for clinical software

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

 

Benefits

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.

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