Full Stack Environment Engineer- San Francisco Startup
Remote | Full-Time | Contract
Pay rate $40- 65 an hour
Join a fast-moving U.S. startup building cutting-edge infrastructure used by the world's leading AI companies. We're developing the environments in which intelligent coding agents learn, experiment, and evolve -- and we're hiring exceptional engineers from around the world to help us shape the next generation of AI systems.
About the Role
As an
Environment Engineer
, you'll build on top of our core platform to create the simulation environments where coding agents train and improve. You'll design testing infrastructure that evaluates AI-generated code on real-world engineering tasks and build automations that accelerate development and task creation.
This is a hands-on role where you'll work across multiple layers of the stack -- from backend systems and APIs to internal dashboards and developer tools. The software you build will directly impact how frontier AI models learn to code and reason.
What You'll Do
Develop and maintain full-stack systems for code evaluation and simulation environments.
Integrate with large, complex codebases to test and grade AI-generated code.
Automate pipelines for environment creation, task testing, and benchmarking.
Collaborate with a world-class engineering team that has built critical AI infrastructure at leading frontier-model organizations.
Continuously explore new tools, frameworks, and architectures to improve performance and scalability.
What We're Looking For
3+ years of professional experience in full-stack software development.
Strong programming skills in
TypeScript
or
Python
.
Experience with
Docker
and modern testing frameworks (Jest, Mocha, Pytest, etc.).
Ability to work independently, learn new codebases quickly, and ship high-quality code fast.
Passion for AI, developer tools, and building systems that scale to thousands of users.
Why Join
Work remotely with talented engineers around the world.
Build software used by top-tier AI labs and research organizations.
Ship fast, own impactful projects, and see your work directly improve the capabilities of AI systems.
Collaborate with a small, world-class team backed by leading investors and operators in the AI ecosystem.
Interview Process
We keep it fast and transparent:
10-minute Zoom Interview
A short take home assignment
Two short technical interviews
* Offer within 7-10 days.
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