Senior Software Engineer - Remote (AI Environments)

YO AI Labs; California (MO); Remote; USD 83,000 - 124,000; Full time

Job summary

YO AI Labs is seeking a Senior Software Engineer for an AI training project. This contractor role (~15 hours/week) is remote, focusing on creating reinforcement learning environments and evaluating AI models using Model Context Protocol (MCP) tools.

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

Qualifications

• Proficiency in one or more of Python, Java, Rust, C++, or TypeScript.
• Strong understanding of algorithms and data structures.
• Experience fixing bugs and debugging complex software.
• Proven ability to implement features and refactor codebases.
• Capable 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 using MCP tools.
• Develop realistic, reproducible software engineering scenarios.
• Document solutions and provide clear technical feedback.

Skills

Python/Java/Rust/C++/TypeScript

Algorithms & Data structures

Bug fixing & debugging

Feature implementation & refactoring

Performance optimization

Communication

Attention to detail

Job description

YO AI Labs is seeking a Senior Software Engineer for an AI training project. This contractor role (~15 hours/week) is remote, focusing on creating reinforcement learning environments and evaluating AI models using Model Context Protocol (MCP) tools.

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