To apply, send us your resume and anything else you'd like us to know at [email protected]

About Amigo

We're helping enterprises build autonomous agents that reliably deliver specialized, complex services—in healthcare, legal, and finance—with practical precision and human-like judgment. Our mission is to build safe, reliable AI agents that organizations can genuinely depend on. We believe superhuman level agents will become an integral part of our economy over the next decade, and we've developed our own agent architecture to solve the fundamental trust problem in AI. Learn more here.

Role

As a Staff Software Engineer (Backend/Infra) at Amigo, you'll lead the design and implementation of our core backend infrastructure during a critical scaling phase. You'll architect systems that enable our platform to scale from initial customers to millions of conversations per month. You'll solve complex technical challenges around reliability, multi-region deployment, and data isolation while maintaining enterprise-grade stability. This role is essential for hardening our platform to maturity and establishing the infrastructure foundation that supports our context graph architecture, functional memory systems, and reinforcement learning capabilities at scale.

Responsibilities

• Design and implement backend services that scale reliably to 100x current volume
• Architect multi-workspace, multi-region deployment capabilities to support enterprise requirements
• Lead initiatives to harden platform reliability, eliminating production disruptions and ensuring consistent performance
• Build comprehensive data isolation mechanisms that maintain security and compliance across customer environments
• Design and implement robust error handling, monitoring, and observability systems
• Develop infrastructure-as-code solutions for reliable, repeatable deployments
• Create systems for seamless production releases with zero downtime
• Build backend infrastructure that supports our unique agent architecture (context graphs, memory systems, dynamic behaviors)
• Architect solutions for compute fleet management and resource optimization
• Collaborate with ML Infrastructure, Platform, and Security teams on integrated solutions