Remote Senior Backend Engineer for AI Training Environments

YO AI Labs; Los Angeles (CA); Remote; USD 83,000 - 165,000; Full time

Job summary

YO AI Labs is seeking Senior Software Engineers to design reinforcement learning environments for evaluating AI models on complex software engineering tasks using MCP tools. You will craft reproducible environments, ensure deterministic verification, and prepare reference solutions for bug fixing, feature implementation, and refactoring tasks.

Ideal candidates bring strong skills in Python, Java, Rust, C++, or TypeScript, plus solid fundamentals in algorithms, data structures, and debugging.

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 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 3

Java

Rust

C++

TypeScript

Algorithms & DS

Debugging complex software

Feature implementation

Codebase refactoring

Performance optimization

Communication

Attention to detail

Job description

YO AI Labs is seeking Senior Software Engineers to design reinforcement learning environments for evaluating AI models on complex software engineering tasks using MCP tools. You will craft reproducible environments, ensure deterministic verification, and prepare reference solutions for bug fixing, feature implementation, and refactoring tasks.

Ideal candidates bring strong skills in Python, Java, Rust, C++, or TypeScript, plus solid fundamentals in algorithms, data structures, and debugging.