Remote Rust Engineer

Turing; Gurugram District; Remote; INR 223,200 - 446,400; Part time

Job summary

A leading AI company is seeking experienced software engineers at the tech lead level to work on innovative projects involving LLM evaluation and training datasets. This role requires solid expertise in Rust, experience with Git and Docker, and the ability to analyze and triage GitHub issues across trending open-source libraries. You'll collaborate closely with researchers and have opportunities to lead junior engineers. The commitment is a contractor assignment for at least 20 hours per week, primarily focused on practical software engineering and AI research.

Qualifications

• Minimum 3+ years of overall experience.
• Strong experience with Rust.
• Ability to run, modify, and test real-world projects locally.

Responsibilities

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up and configure code repositories, including Dockerization.
• Evaluate unit test coverage and quality.

Skills

Rust

Git

Docker

Understanding complex codebases

Modifying and testing real-world projects

Job description

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.

Day-to-day 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.

Required Skills

• Minimum 3+ years of overall experience
• Strong experience with at least one of the following languages: Rust
• 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.

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)

Duration of contract

3 month; [expected start date is next week]