Remote Senior AI Software Engineer - RL Environments

YO AI Labs; Town of Texas (WI); Remote; USD 83,000 - 152,000; Full time

Job summary

YO AI Labs seeks a Senior Software Engineer contractor to build reinforcement learning environments for evaluating AI models on software tasks using MCP tools.

You will design reproducible environments, deterministic verification, and reference solutions for bug fixes, feature work, refactoring, and performance tuning. This role emphasizes coding ability, problem solving, and clear technical feedback, with tasks delivered remotely.

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.
• 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 using 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.

Skills

Python 3

Java

Rust

C++

TypeScript

Algorithms & DS

Bug fixing

Feature implementation

Code refactoring

Performance tuning

Communication

Attention to detail

Job description

YO AI Labs seeks a Senior Software Engineer contractor to build reinforcement learning environments for evaluating AI models on software tasks using MCP tools.

You will design reproducible environments, deterministic verification, and reference solutions for bug fixes, feature work, refactoring, and performance tuning. This role emphasizes coding ability, problem solving, and clear technical feedback, with tasks delivered remotely.