Senior Software Engineer: AI Training Environments (Remote)

YO AI Labs; Philadelphia (Philadelphia County); Remote; USD 83,000 - 165,000; Part 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 with MCP tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks like bug fixing, feature implementation, refactoring, and performance optimization.

Strong proficiency in Python, Java, Rust, C++, or TypeScript is required, along with deep knowledge of algorithms and data structures.

Qualifications

• Strong proficiency in Python, Java, Rust, C++, or TypeScript.
• Solid understanding of algorithms and data structures.
• Experience with bug fixing and debugging complex software issues.
• Proven experience in feature implementation and codebase refactoring.
• Knowledge of performance optimization and tuning.
• Excellent written and verbal communication.
• 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.
• Document solutions and provide clear technical feedback.

Skills

Python

Java

Rust

C++

TypeScript

Algorithms & DS

Bug fixing & debugging

Code refactoring

Performance optimization

Communication skills

Detail-oriented

MCP tools

RL environments

Tools

MCP tools

RL environments

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 with MCP tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks like bug fixing, feature implementation, refactoring, and performance optimization.

Strong proficiency in Python, Java, Rust, C++, or TypeScript is required, along with deep knowledge of algorithms and data structures.