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Amadeus Search

Founding Full-Stack Engineer

Amadeus Search, San Francisco, California, United States, 94199

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Role:

Founding Full-Stack Engineer Employment Type:

Full-time, On-site Location:

San Francisco, CA Compensation:

$170k – $230k base + competitive equity Visa:

Not available

Company Overview Kaizen builds

reinforcement learning environments

that allow AI to train from its own experience instead of relying on human-labeled data — solving the core infrastructure bottleneck to achieving

autonomous agentic AI systems . In just

5 months , they’ve secured

massive contracts with frontier AI labs , have a

3-person founding team , and are scaling rapidly with strong funding and runway.

Role Summary As employee #4, you will

own features end-to-end

across the stack — from database to UI — and build production systems that support

high-volume autonomous AI training workloads

for the world’s top AI research labs.

Key Responsibilities

Architect

full-stack applications

with React.js (frontend) and Python (backend)

Deploy

scalable infrastructure

on AWS/GCP for AI training systems

Transform cutting-edge AI research into production-ready tools

Lead technical decisions in a

microservices architecture

Help define

engineering culture

as the team grows from 3 → 30+ engineers

Ideal Candidate Profile

2–5 years

building large-scale production applications

Expert React.js

skills (complex frontend leadership experience)

Backend mastery with

Python

(FastAPI, Django, or Flask)

Full-stack versatility — strong frontend + backend skills

Experience deploying real production systems on AWS/GCP

Broad domain exposure (marketplaces, real-time portals, varied use-cases)

Bonus: DevOps/CI-CD, Redux/Zustand, Docker, public portfolio, microservices

Culture & Work Style

In-person in San Francisco (high-collaboration environment)

Elite engineering team solving the

hardest problems in AI

Mission-driven, high-ownership role with direct product impact

Ground floor of a

high-growth AI infrastructure startup

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