Remote Senior Backend Engineer for AI Training Tasks

YO AI Labs; Seattle (WA); Remote; USD 83,000 - 165,000; Full time

Job summary

YO AI Labs is seeking a Senior Software Engineer to support an AI training project by creating reinforcement learning environments that evaluate 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 is required.

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.
• Experience with large-scale or distributed codebases.
• Familiarity with AI/ML systems is a plus but not required.
• Experience with rigorous code reviews and software engineering best practices.
• Experience working effectively in remote or cross-functional teams.

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

Bug fixing

Code refactoring

Performance tuning

Communication

Job description

YO AI Labs is seeking a Senior Software Engineer to support an AI training project by creating reinforcement learning environments that evaluate 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 is required.