Ai Engineer Spectro Cloud Austin, Texas, US

Artha Nexgen; Austin, Northern (TX, KY); Hybrid; USD 55,000 - 124,000; Part time

Job summary

Artha Nexgen is seeking an AI Engineer for a remote contractor role (~15 hours per week). The position focuses on designing Reinforcement Learning environments and evaluating model context using MCP tools. A minimum of 3 years' experience is required, with domain knowledge emphasized.

You will work flexibly, picking hours, and may be asked to fix bugs, implement features, and optimize performance. Strong coding skills in C++, Python, and related languages, plus ability to collaborate across

Qualifications

• Proficiency in C++, Python, or related languages.
• Strong knowledge of algorithms, data structures, and tuning.
• Experience debugging complex software and delivering clean solutions.
• Ability to work in cross-functional remote teams.

Responsibilities

• Design Reinforcement Learning Environments using MCP tools.
• Fix bugs, implement features, and optimize performance.
• Ensure reproducible environments and golden reference solutions.

Skills

C++

Python

Algorithms

Debugging

Performance tuning

Remote collaboration

Job description

This job requires a minimum of 3 years of experience.

About the Job

Job Title: AI Engineer

Job Type: Contractor (~15 hrs a week)

Location: Remote

Schedule: Flexible, you pick the hours and days (including weekends if desired)

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.

Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.