Senior Software Engineer – Ruby LLM Evaluation

Turing Enterprises, Inc.; Pakistan; Remote; PKR 9,274,000 - 21,640,000; Part time

Benefits offered by this job

Fully remote

Cutting-edge AI projects

Multiple hours options (20/30/40)

Contractor role (no medical/paid leave

Job summary

Turing Enterprises, Inc. is seeking a Senior Software Engineer – Ruby with LLM Evaluation & Repository Validation.

You will perform hands-on software engineering, automate environments, triage issues, and evaluate test coverage on real-world codebases. The role involves setting up repositories with Docker, running projects locally, leading junior engineers, and collaborating with researchers to identify hard problems for LLMs.

Qualifications

• Minimum 3+ years of overall software engineering experience.
• Strong experience with Ruby is required.
• Proficiency with Git, Docker, and basic software pipeline setup.
• Ability to understand and navigate complex codebases.
• Comfortable running, modifying, and testing real-world projects locally.

Responsibilities

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up and configure code repositories, including Dockerization and environment setup.
• Evaluating unit test coverage and quality.
• Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
• Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs.
• Opportunities to lead a team of junior engineers to collaborate on projects.

Skills

Ruby

Git

Docker

CI/CD

Tools

Docker

Job description

Senior Software Engineer – Ruby (LLM Evaluation & Repository Validation)

Skills Ruby

Overview

Job Title: Senior Software Engineer – LLM Evaluation & Repository Validation

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop ; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.

About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality

Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.

What does day-to-day look like:

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up and configure code repositories, including Dockerization and environment setup.
• Evaluating unit test coverage and quality.
• Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
• Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs.
• Opportunities to lead a team of junior engineers to collaborate on projects.

Required Skills:

• Minimum 3+ years of overall experience
• Strong experience with at least one of the following languages: Ruby
• Proficiency with Git, Docker, and basic software pipeline setup.
• Ability to understand and navigate complex codebases.
• Comfortable running, modifying, and testing real-world projects locally
• Experience contributing to or evaluating open-source projects is a plus.

Nice to Have:

• Previous participation in LLM research or evaluation projects.
• Experience building or testing developer tools or automation agents.

Perks of Freelancing With Turing:

• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.
• Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)
• Employment type : Contractor assignment (no medical/paid leave)

Evaluation Process (approximately 75 mins) :

• Two rounds of interviews (60 min technical + 30 min technical & cultural discussion)