Senior Backend Engineer (Remote) for AI RL Environments

YO AI Labs; Phoenix (AZ); Remote; USD 83,000 - 165,000; Full time

Job summary

YO AI Labs 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. Remote contractor role (~15 hours/week).

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 required.

Qualifications

• Proficiency in Python 3, Java, Rust, C++, or TypeScript.
• Strong understanding 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.
• Strong 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 use MCP tools effectively.
• 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

Rust

C++

TypeScript

Algorithms

Bug fixing

Refactoring

Performance optimization

Communication

Job description

YO AI Labs 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. Remote contractor role (~15 hours/week).

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 required.