Senior Software Engineer - AI RL Environments (Remote)

YO AI Labs; Illinois; À distance; USD 55 000 - 110 000; Plein temps

Résumé du poste

YO AI Labs in the United States is seeking a Senior Software Engineer (Contractor, ~15 hours/week) to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using MCP tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature development, codebase refactoring, and performance optimization, with no prior AI experience required.

Qualifications

• Proficiency in Python 3, Java, Rust, C++, or TypeScript.
• Strong understanding of algorithms and data structures.
• Experience in bug fixing and debugging complex software issues.
• Proven ability to implement features and refactor codebases.
• Knowledge of performance optimization and tuning.
• Excellent written and verbal communication.
• Attention to detail.

Responsabilités

• 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.
• Develop realistic, reproducible software engineering scenarios.
• Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
• Document solutions and provide clear technical feedback.

Connaissances

Python

Java

Rust

C++

TypeScript

Algorithms

Data structures

Bug fixing

Code refactoring

Performance optimization

Communication

Attention to detail

Description du poste

YO AI Labs in the United States is seeking a Senior Software Engineer (Contractor, ~15 hours/week) to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using MCP tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature development, codebase refactoring, and performance optimization, with no prior AI experience required.