Amadeus Search
Founding Full-Stack / Platform Engineer
Amadeus Search, San Francisco, California, United States, 94199
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
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