Senior Software Engineer — Remote AI Environment Designer

YO AI Labs; Atlanta (GA); Remote; USD 83,000 - 138,000; Part time

Job summary

YO AI Labs is seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using MCP tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Qualifications

• Experience with Python 3, Java, Rust, C++, or TypeScript.
• Strong grasp of algorithms and data structures.
• Experience with bug fixing and debugging complex software issues.
• Proven experience in feature implementation and codebase refactoring.
• Strong knowledge of performance optimization and tuning.
• Excellent written and verbal communication; high attention to detail.

Responsibilities

• Create reinforcement learning environments for software engineering tasks.
• Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
• Build deterministic verification systems and golden reference solutions.
• Evaluate AI agents' ability to reason through complex codebases and MCP tools.
• Develop realistic, reproducible software engineering scenarios.
• Document solutions and provide clear technical feedback.

Skills

algorithms & data structures

bug fixing & debugging

feature implementation

codebase refactoring

performance optimization

communication & attention to detail

Tools

Python 3

Java

Rust

C++

TypeScript

Job description

YO AI Labs is seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using MCP tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.