Founding Full-Stack

1 week ago

San Francisco, CA, United States Amadeus Search Full time
Role: Founding Full-Stack / Platform Engineer
Employment Type: Full-time, On-site
Location: San Francisco, CA
Compensation: $220k - $280k base + competitive equity
Visa: Not availableCompany Overview

Kaizen builds reinforcement learning environments that allow AI to train from its own experiences instead of relying solely on human-labeled data - a critical step toward autonomous AI and AGI. In just 5 months, they've gained traction with frontier AI labs that depend on their platform for high-volume AI training.
Role Summary

Employee #4, responsible for building developer tools, internal platforms, and scalable AI training infrastructure. You'll create reusable systems enabling rapid development and deployment, directly supporting frontier AI research and autonomous agentic AI systems.
Key Responsibilities
  • Develop critical infrastructure, internal tools, and CI/CD pipelines
  • Build React frontends + Python backends for platform tools
  • Deploy scalable AI training systems on AWS/GCP
  • Design reusable components and automation to eliminate repetitive dev work
  • Establish engineering best practices for scaling from 3 → 30+ engineers
Ideal Candidate Profile
  • 2-5 years platform engineering experience building tools that speed up development
  • Full-stack skills with React.js, TypeScript, and Python (FastAPI, Django, or Flask)
  • DevOps knowledge (service configuration, CI/CD, monitoring, deployment automation)
  • AWS/GCP deployment for production systems
  • Experience at a company of 30+ employees where tools were used widely
  • Bonus: public portfolio, Docker, microservices, open-source work, top CS school background
Culture & Work Style
  • In-person in SF (employee #4 in a growing AI startup)
  • Direct impact on AGI infrastructure
  • Close collaboration with frontier AI labs
  • High ownership, greenfield architecture, and long-term platform vision

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