Senior AI Software Engineer - Remote RL Environments

YO AI Labs; Austin (TX); Remote; USD 55,000 - 124,000; Part time

Job summary

YO AI Labs in the United States is seeking a Senior Software Engineer to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software tasks using MCP tools.

You will design reproducible environments, deterministic verification, and reference solutions for bug fixing, feature development, codebase refactoring, and performance optimization. Remote work available.

Qualifications

• Proficiency in Python, Java, C++, TypeScript or Rust and modern CS fundamentals.
• Experience debugging and fixing complex software issues across large codebases.
• Experience implementing features and refactoring codebases with care.
• Strong focus on performance optimization and reliable results.

Responsibilities

• Create reinforcement learning environments for software engineering tasks.
• Design tasks including bug fixing, feature development, refactoring and optimization.
• Build deterministic verification systems and golden reference solutions.
• Evaluate AI agents' ability to reason through complex codebases using MCP tools.
• Develop realistic, reproducible software engineering scenarios.
• Ensure tasks accurately measure coding ability, problem-solving and tool usage.
• Document solutions and provide clear technical feedback.

Skills

Python

Java

C++

TypeScript

Rust

Algorithms & DS

Bug fixing

Code refactoring

Performance tuning

Communication

Attention to detail

Job description

YO AI Labs in the United States is seeking a Senior Software Engineer to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software tasks using MCP tools.

You will design reproducible environments, deterministic verification, and reference solutions for bug fixing, feature development, codebase refactoring, and performance optimization. Remote work available.