Remote Senior Software Engineer - 34123

JR United Kingdom; Dartford; Remote; GBP 50,000 - 70,000; Full time

Job summary

A leading company in AI development seeks a Remote Senior Software Engineer to work on evaluating LLMs with real code. This role offers the chance to blend software engineering with AI research and requires proficiency with popular repositories and collaboration with junior engineers.

Benefits

Fully remote environment

Opportunity to work on cutting-edge AI projects

20 hours per week commitment

Qualifications

• Experience required with high-quality public GitHub repositories.
• Experience should include evaluating test coverage and developing automation.

Responsibilities

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up code repositories, including Dockerization.
• Collaborate with researchers to design and assess challenging repositories.

Skills

Experience working with well-maintained, widely-used repositories with 500+ stars

Proficiency with Git

Proficiency with Docker

Ability to understand and navigate complex codebases

Comfortable running, modifying, and testing real-world projects locally

Experience contributing to or evaluating open-source projects

Job description

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Remote Senior Software Engineer - 34123, dartford

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Client:

Turing

Location:

dartford, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

06.06.2025

Expiry Date:

21.07.2025

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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. You should have experience working with well-maintained, widely-used repos with 500+ stars. 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:

• Experience working with well-maintained, widely-used repositories with 500+ stars
• 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.

Note: Experience working with well-maintained, widely-used repositories (500+ stars) is required.

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.
• Commitment required: 20 hours per week with some overlap with PST
• Employment type: Contractor assignment (no medical/paid leave)
• Duration of contract: 1 month with expected start date as next week