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AgentMail

Founding Engineer

San Francisco$150k–$250kfulltimemidAdded 1 month ago

About this role

AgentMail is hiring a founding engineer to build backend infrastructure and APIs for an inbox platform designed specifically for AI agents. You'll own projects end-to-end, working on high-performance systems that enable agents to communicate and authenticate in the real world.

What you'll do

  • Design intuitive APIs and abstractions for both human and AI agent users
  • Build high-performance, low-latency infrastructure processing hundreds of thousands of emails daily
  • Own projects from system design through production deployment
  • Develop and maintain core distributed systems with strong technical documentation
  • Gather and relay customer feedback as a product spokesperson
  • Bridge cutting-edge AI capabilities with email and identity infrastructure

What they're looking for

  • Backend development and API design
  • Distributed systems and infrastructure
  • Cloud infrastructure
  • Systems thinking and end-to-end problem solving
  • Production software shipping experience
  • Technical communication and documentation
  • Email, messaging, or authentication systems (bonus)
  • AI/LLM systems experience (bonus)

Benefits

  • Base salary $150k-$250k with 0.5%-1.5% equity
  • Medical, dental, and vision insurance
  • Equinox gym memberships
  • Free meals via Doordash (breakfast, lunch, dinner)
  • Early-stage hypergrowth opportunity
  • Full-time, on-site in San Francisco
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AgentMail

AgentMail builds an inbox platform designed specifically for AI agents to communicate and authenticate in the real world. The company is hiring founding engineers to own backend infrastructure and APIs, building high-performance systems that enable agent communication.

View all jobs at AgentMail

Likely interview questions

  • Walk us through a time you designed an API from scratch. How did you think about the interface for different types of users or clients?
  • Tell us about a production system you've built that handles high throughput. What were the bottlenecks and how did you optimize for latency?
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