Senior Remote Software Engineer – AI Training Environments

YO AI Labs

Washington (District of Columbia)

Remote

USD 83,000 - 124,000

Full time

3 days ago
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Benefits offered by this job

Remote work

Job summary

YO AI Labs in a remote setting seeks a Senior Software Engineer to support an AI training project by creating reinforcement learning environments for software engineering tasks using MCP tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks like bug fixing, feature implementation, codebase refactoring, and performance optimization.

You will evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively, and

Qualifications

  • Strong proficiency in Python 3, 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.
  • 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.
  • Document solutions and provide clear technical feedback.

Skills

Python 3
Java
Rust
C++
TypeScript
Algorithms
Data structures
Bug fixing
Debugging
Feature implementation
Code refactoring
Performance optimization
Communication
Attention to detail

Job description

YO AI Labs in a remote setting seeks a Senior Software Engineer to support an AI training project by creating reinforcement learning environments for software engineering tasks using MCP tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks like bug fixing, feature implementation, codebase refactoring, and performance optimization.

You will evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively, and

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