Senior Software Engineer (Remote) - AI Environments

YO AI Labs; Washington (District of Columbia); Remote; USD 83,000 - 131,000; Full time

Job summary

YO AI Labs is seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software 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 required.

Qualifications

• Proficiency in Python, Java, Rust, C++, or TypeScript.
• Strong foundations in algorithms and data structures.
• Experience debugging and fixing complex software issues.
• Experience with feature implementation and codebase refactoring.
• Strong focus on performance optimization and tuning.
• Excellent written and verbal communication skills.
• High attention to detail in code and tasks.

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 3

Java

Rust

C++

TypeScript

Algorithms

Data structures

Bug fixing

Feature implementation

Code refactoring

Performance tuning

Communication

Attention to detail

Job description

YO AI Labs is seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software 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 required.