Remote Software Engineer (Ruby)

Turing; Chennai; Vor Ort; INR 1.200.000 - 1.600.000; Teilzeit

Benefits dieser Stelle

Work in a fully remote environment

Opportunity to work on cutting‑edge AI projects

Flexible time commitment options: 20, 30, or 40 hours per week

Zusammenfassung

A leading AI company in Chennai is seeking experienced software engineers to contribute to LLM evaluation projects. The role involves hands-on engineering work, including analyzing GitHub issues, configuring code repositories, and assessing test coverage. Candidates should have over 3 years of experience, strong Ruby skills, and be comfortable with Git and Docker. This unique opportunity allows for a fully remote working environment, blending practical software engineering with AI research.

Qualifikationen

• Minimum 3+ years of overall experience.
• Strong experience with Ruby programming language.
• Proficiency with Git and Docker.
• Ability to navigate complex codebases.
• Experience with open-source projects is a plus.

Aufgaben

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up and configure code repositories, including Dockerization.
• Evaluate unit test coverage and quality.
• Run codebases locally to assess LLM performance in bug-fixing scenarios.
• Collaborate with researchers to identify challenging repositories.

Kenntnisse

Ruby

Git

Docker

Software pipeline setup

Complex codebase navigation

Open source project participation

Jobbeschreibung

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)