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

Turing; India; Remote; INR 2,066,000 - 3,444,000; Full time

Benefits offered by this job

Fully remote

Cutting-edge AI projects

Job summary

Turing seeks a Senior Software Engineer to lead LLM evaluation and repository validation. You will work with high‑quality open‑source repos, automate environments with Docker, triage issues, and evaluate test coverage.

Required: 3+ years of software engineering, strong Ruby, Git, Docker, and the ability to navigate large codebases. This remote contractor role is based in India, offering flexible hours and exposure to cutting‑edge AI projects.

Qualifications

• 3+ years of software engineering experience.
• Strong Ruby proficiency and familiarity with Git and Docker.

Responsibilities

• Analyze and triage GitHub issues across repositories.
• Set up and Dockerize repos and environments.
• Evaluate unit test coverage and quality.
• Modify and run code locally to assess LLM performance.

Skills

3+ yrs exp

Ruby

Git

Docker

Codebase navigation

Tools

Docker

Git

Job description

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.

Offer Details

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) Location : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico

Evaluation Process (approximately 75 mins)

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