AI Engineer

Aqusag-Technologies; Argentina; A distancia; USD 120.000 - 170.000; Jornada completa

Descripción de la vacante

Aqusag-Technologies is seeking an experienced software engineer for a remote, full-time role focused on training next-generation AI systems. With 3+ years of hands-on experience, you will apply your expertise to shape how models learn, reason, and perform.

You will create Reinforcement Learning Environments using Model Context Protocol (MCP) tools, tackle bugs, implement features, refactor code, and optimize performance while ensuring reproducible results and scalable solutions in a distributed,

Formación

• 3+ years of software development experience
• Strong proficiency in Python, Java, C++, TypeScript or Rust
• Experience debugging complex systems and delivering maintainable solutions
• Ability to develop features, refactor code and optimize performance in a distributed team

Responsabilidades

• Develop Reinforcement Learning Environments for MCP tools
• Fix bugs, implement features and refactor code for maintainability
• Optimize performance and scalability of software systems
• Collaborate with cross-functional teams in a remote setup

Conocimientos

Python3

Java

Rust

Algorithms

C++

TypeScript

bug fixing

feature implementation

codebase refactoring

performance optimization

Descripción del empleo

Experience: 3+ years
Job Type: Full-time (Contractual / Freelancing)
Location: Remote
Required Skills:Python3, JAVA, Rust, Algorithms, Basic C++, TypeScript, bug fixing, feature implementation, codebase refactoring, performance optimization

Job Summary:

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required, your domain knowledge is what matters.

As an expert you will be creating Reinforcement Learning Environments which test an AI model’s ability to solve complex software engineering problems using Model Context Protocol (MCP) tools. Tasks may involve fixing bugs, implementing features, refactoring code, or optimizing performance while requiring agents to discover and reason over information from real MCP servers. You will design reproducible environments, deterministic verification, and golden reference solutions that accurately measure both MCP tool use and software engineering ability.

Required Skills and Qualifications:

• Proficiency in C++, Python, JAVA, GoLang, Typescript, or Rust.
• Deep understanding of algorithms, data structures, and performance tuning.
• Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
• Strong background in feature development and codebase refactoring.
• Proven ability to optimize software for performance and scalability.
• Exceptional written and verbal communication skills, with a keen attention to detail.
• Track record of success in collaborative, cross-functional teams, ideally in remote settings.

Preferred Qualifications:

• Previous experience working on large-scale, distributed codebases.
• Familiarity with modern AI or machine learning systems is a plus, though not required.
• Background in participating in rigorous code reviews and contributing to the development of software best practices.