Senior Software Engineer - AI RL Training Environments

YO AI Labs

Toronto

Remote

CAD 76.000 - 153.000

Teilzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Zusammenfassung

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 engineering 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.

Qualifikationen

  • Proficiency in Python3, Java, Rust, C++, or TypeScript.
  • Strong knowledge of algorithms and data structures.
  • Experience debugging complex software issues.
  • Experience with feature implementation and codebase refactoring.
  • Focus on performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.

Aufgaben

  • 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 codebases using MCP tools.
  • Develop realistic, reproducible software engineering scenarios.
  • Document solutions and provide clear technical feedback.

Kenntnisse

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

Jobbeschreibung

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 engineering 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.

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