Senior AI Software Engineer - Remote RL Environments

YO AI Labs; Houston (TX); Remote; USD 5,510,000 - 11,021,000; Part time

Job summary

YO AI Labs seeks a Senior Software Engineer contractor to design and implement reinforcement learning environments for software engineering tasks, using MCP tools to evaluate AI models. The role emphasizes reproducible scenarios, deterministic verification, and reference solutions across bug fixing, feature work, and refactoring.

You will contribute to evaluating AI agents on complex codebases, ensuring clear technical feedback and thorough documentation.

Qualifications

• Strong 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

TypeScript

Algorithms

Data Structures

Bug Fixing

Code Refactoring

Performance Tuning

Communication

Detail Orientation

Job description

YO AI Labs seeks a Senior Software Engineer contractor to design and implement reinforcement learning environments for software engineering tasks, using MCP tools to evaluate AI models. The role emphasizes reproducible scenarios, deterministic verification, and reference solutions across bug fixing, feature work, and refactoring.

You will contribute to evaluating AI agents on complex codebases, ensuring clear technical feedback and thorough documentation.