Staff Software Engineer

Amigo AI

$130K — $180K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in software engineering
  • Proven ability to design and deliver complex systems from start to finish
  • Deep expertise in one area (full-stack, backend, infrastructure, or data) with a breadth across others
  • Strong focus on reliability of systems in production environments
  • High standards for personal and team performance
  • Ability to work effectively in a hybrid or remote environment

Responsibilities

  • Design systems that ensure reliability and safety for AI agents in production healthcare
  • Own and navigate ambiguous technical challenges to deliver complete solutions
  • Establish architectural patterns and engineering standards for the team
  • Make strategic decisions regarding build or purchase of systems
  • Address complex issues related to reliability, performance, or data integrity
  • Mentor senior engineers to elevate team capabilities

Benefits

  • 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
  • Annual learning budget for courses, books, or conferences
  • Conference attendance budget for professional development
  • Annual team offsite
  • Academic collaboration opportunities
  • Unlimited PTO
Full Job Description
About this role

As a Staff Software Engineer at Amigo, you'll take on the hardest technical problems in the platform behind our AI agents. You'll set the architecture that other engineers build on, own problems that start out ambiguous, and shape how the team builds. The team is small, so the work you do here carries a long way.

We care about depth and judgment more than any particular stack. Whether your background leans full-stack, backend, infrastructure, or data, there is hard work here that needs an owner.

What you might work on
  • Designing the systems that keep AI agents reliable and safe in production healthcare
  • Owning a hard, ambiguous problem and carrying it through to a shipped system
  • Setting the patterns and standards the rest of engineering builds within
  • Making platform-level calls about what to build, what to buy, and what to cut
  • Digging into the hardest reliability, performance, or data problems we have
  • Mentoring senior engineers


You may be a fit if
  • You've designed and delivered complex systems end to end, and other engineers have built on top of your work
  • You're deep in at least one area (full-stack, backend, infrastructure, or data) and can range across the others
  • You care about whether systems hold up in production
  • You know when to simplify, and you think about direction before speed
  • You're low ego, direct, and hold yourself to a high bar
  • You can work hybrid out of our San Francisco office, or fully remote


Nice to have
  • Experience in a regulated or high-reliability domain (healthcare, finance, legal)
  • Experience with production AI or ML systems
  • Background with high-scale data systems or infrastructure
  • Experience mentoring or leading engineers


Benefits (available to Full-Time Employees)

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


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