Senior Software Engineer

Artha Nexgen; Northern (KY); Hybrid; USD 83,000 - 124,000; Full time

Benefits offered by this job

Remote work

Flexible schedule

Job summary

Artha Nexgen is seeking a Senior Software Engineer (Contractor) to design and implement reinforcement learning environments that emulate real-world DevOps and software engineering workflows. You will work remotely, applying deep language and systems knowledge to create testable, reproducible tasks for AI models.

The role emphasizes strong C++, Python, and other language skills, with focus on performance, scalability, and maintainable code.

Qualifications

• Proficiency in multiple languages: C++, Python, Java, Go, TypeScript or Rust.
• Strong knowledge of algorithms and data structures.
• Experience debugging complex software and delivering maintainable solutions.
• Ability to optimize for performance and scalability.
• Excellent communication and collaboration, especially in remote settings.

Responsibilities

• Create Reinforcement Learning Environments to test AI models on software workflows.
• Develop reproducible RL environments for DevOps/CI-CD and debugging tasks.
• Provide a golden reference solution for evaluation.
• Work with cross-functional teams in a remote setting.

Skills

C++

Python

Java

Go

TypeScript

Rust

Algorithms

Data structures

Performance tuning

Debugging

Code refactoring

Remote collaboration

Tools

Git

Docker

GDB

ASan

FFmpeg

Job description

C++ Python Java/Go/TypeScript/Rust algorithms/data structures debugging

This job requires a minimum of 3 years of experience.

About the Job

Job Title: Senior Software Engineer

Job Type: Contractor (~15 hrs a week)

Location: Remote (Globally)

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 workflows. These workflows are similar in scope to common DevOps | CI/CD | Debugging workflows using common cli tools such as git, docker, gdb, asan, ffmpeg and many more. Your task will be to create reproducible rl environments that test a model's ability to solve these workflows along with a golden reference solution.

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.

Process:

• Apply to the role, filling out the screening questions


• Technical Assessment (Tentative)

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.