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Founding Full-Stack / Platform Engineer
Founding Full-Stack / Platform EngineerAmadeus Search • San Francisco, CA, United States
Founding Full-Stack / Platform Engineer

Founding Full-Stack / Platform Engineer

Amadeus Search • San Francisco, CA, United States
30+ days ago
Job type
  • Full-time
Job description

Role : Founding Full-Stack / Platform Engineer

Employment Type : Full-time, On-site

Location : San Francisco, CA

Compensation : $220k - $280k base + competitive equity

Visa : Not available Company 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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