We are looking for AI Engineer candidates for a project delivered through micro1.

What you'll do

Create Reinforcement Learning Environments to test AI model's ability to solve complex software engineering problems using Model Context Protocol (MCP) tools.
Fix bugs, implement features, refactor code, or optimize performance while requiring agents to discover and reason over information from real MCP servers.
Design reproducible environments, deterministic verification, and golden reference solutions that accurately measure both MCP tool use and software engineering ability.

What you need

Proficiency in C++, Python, JAVA, GoLang, Typescript, or Rust.
Deep understanding of algorithms, data structures, and performance tuning.
Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
Strong background in feature development and codebase refactoring.
Proven ability to optimize software for performance and scalability.
Exceptional written and verbal communication skills, with a keen attention to detail.
Track record of success in collaborative, cross-functional teams, ideally in remote settings.

Previous experience working on large-scale, distributed codebases.
Familiarity with modern AI or machine learning systems.
Background in participating in rigorous code reviews and contributing to the development of software best practices.

Also listed: communication, collaboration.

Project and contracting process: micro1. Applications continue on the provider's website.