Senior SWE for AI Training Environments (Remote)

YO AI Labs; Edmonton; Remote; CAD 55,000 - 117,000; Part 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 engineering tasks using Model Context Protocol (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 reinforcement learning environments and software engineering tasks.
• Strong programming skills across multiple languages.
• Ability to design reproducible environments and deterministic verification.

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 reference solutions.
• Evaluate AI agents' ability to reason through complex codebases using MCP tools.

Skills

Python 3

Java

Rust

C++

TypeScript

Algorithms and data structures

Bug fixing and debugging

Code 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 engineering tasks using Model Context Protocol (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.