Amigo builds trust and safety infrastructure for AI in mission-critical environments.
We partner with organizations in healthcare and other regulated sectors to deploy AI systems that operate reliably when the stakes are highest. Our infrastructure enables verification, monitoring, and real-time oversight—ensuring AI serves people safely at scale.
We've raised $6.5M from General Catalyst and GSV Ventures. Our team combines expertise in distributed systems, quantitative research, clinical operations, and regulatory environments to build AI that organizations can trust.
About this roleAs a Staff Software Engineer (Product) at Amigo, you'll own the systems our customers depend on daily - live call systems handling critical conversations, embedded applications running in mission-critical workflows, and integrations that can't fail. You'll architect for production reality: unreliable networks, zero downtime tolerance, sub-second response requirements. System failures directly impact people's lives and business operations, so this role demands the highest level of reliability engineering.
What you'll doArchitect and build bulletproof real-time communication systems that work reliably across poor network conditions
Design graceful degradation patterns so our systems provide value even when customer networks or infrastructure fail
Build customer system integrations that handle the chaos of legacy systems, API rate limits, and unexpected downtime
Implement comprehensive error handling, retry logic, and fallback mechanisms for mission-critical workflows
Design embedded applications that integrate seamlessly into customer environments we don't control
Build monitoring and alerting that catches production issues before customers notice them
Create deployment strategies that enable zero-downtime updates across diverse customer environments
Design performance optimization strategies for real-time systems under load and network stress
Lead incident response and build systems that learn from failures to prevent future issues
Make architectural decisions balancing feature velocity with production reliability and customer trust
7+ years building mission-critical systems where downtime directly impacts business operations or user safety
Battle-tested experience with real-time communication systems, network resilience, and fault-tolerant architectures
Proven track record leading technical decisions for systems serving millions of users under unpredictable conditions
Deep experience integrating with legacy enterprise systems and handling the complexity of customer environments
History of building systems that gracefully handle network failures, API limitations, and third-party service outages
Experience with incident response, post-mortem analysis, and building systems that learn from failures
Strong background in performance optimization for real-time systems under variable network and load conditions
Leadership experience mentoring engineers through complex production challenges and architectural trade-offs
Understanding of regulatory compliance requirements and how they impact system architecture decisions
Strong judgment for balancing technical debt, feature velocity, and production reliability under business pressure
Experience building production systems for regulated industries where compliance failures have serious consequences
Understanding of how system performance and reliability impact user experience
Experience with chaos engineering, disaster recovery testing, and systematic reliability practices
History of working closely with customer success teams to understand how technical decisions impact business outcomes
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.
