Remote Rust Software Engineer - AI & RL Environments

YO IT Consulting

Pakistan

Remote

PKR 1,200,000 - 2,400,000

Full time

14 days+

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Job summary

YO IT Consulting in Pakistan seeks a skilled software expert to help train next-generation AI systems by building reinforcement learning environments and testing model learning, reasoning, and performance.

You will implement features, fix bugs, refactor code, and optimize performance across languages while using Model Context Protocol (MCP) tools. Collaborate with remote teams to deliver high-quality, reproducible benchmarks and golden reference solutions.

Qualifications

  • Proficiency in C++, Python, Java, Go, TypeScript, or Rust.
  • Strong knowledge of algorithms, data structures and performance tuning.
  • Experience debugging complex software issues and delivering maintainable code.
  • Experience with feature development and codebase refactoring.
  • Ability to optimize software for performance and scalability.
  • Excellent written and verbal communication, with attention to detail.
  • Proven track record in remote or distributed team collaboration.

Responsibilities

  • Create Reinforcement Learning Environments to test AI models using MCP tools.
  • Fix bugs, implement features, refactor code, and optimize performance.
  • Design reproducible environments with deterministic verification and golden references.
  • Collaborate with cross-functional teams in a remote-friendly setup.
  • Help model learn, reason, and perform through high-quality, real-world input.

Skills

C++
Python
Java
Go
TypeScript
Rust
Algorithms
Data structures
Debugging
Refactoring
Performance optimization
Communication
Remote collaboration

Tools

MCP tooling

Job description

YO IT Consulting in Pakistan seeks a skilled software expert to help train next-generation AI systems by building reinforcement learning environments and testing model learning, reasoning, and performance.

You will implement features, fix bugs, refactor code, and optimize performance across languages while using Model Context Protocol (MCP) tools. Collaborate with remote teams to deliver high-quality, reproducible benchmarks and golden reference solutions.

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