Fullstack Engineer
Summary
Build simulation environments and testing infrastructure on top of large codebases to grade coding-agent solutions for training next-generation frontier AI models. Day-to-day full-stack work in TypeScript or Go with Docker, AWS/GCP/Azure, and databases.
Member of Technical Staff - Environments (Full-Stack)
Remote, Full-Time
As an Environment Engineer, you will build on top of our core platform to create the simulation environments in which coding agents learn. You will build testing infrastructure on top of large codebases to grade the solutions of coding agents on real world software engineering tasks and build automations to speed up parts of testing and task creation. The software you build is critical infrastructure that will be used to train the next generation of frontier AI models.
This role will require you to constantly work with new codebases; hence, you will need to be able to quickly get familiar with new technologies. The ideal candidate has multiple years of experience working on full-stack software engineering projects using languages such as Typescript or Go, as well as knowledge about infrastructure (Docker, AWS / GCP / Azure) and database technologies. We do not care about your experience with specific frameworks or libraries, but hire for the ability to learn quickly and the ability to use AI.
Interview Process
Our interview process is designed to be quick. In most cases, you will have an offer within seven days.
- 20 min introductory call
- 1 hour coding interview