Remote Senior Software Engineer - 34123

JR United Kingdom; Manchester; Remote; GBP 50,000 - 80,000; Full time

Job summary

A leading company in AI innovation seeks a Senior Software Engineer to join their remote team in Manchester. This role involves hands-on engineering tasks, including evaluating LLM interactions and collaborating on software projects. Ideal candidates have strong proficiency in Git and Docker, as well as experience with high-quality public GitHub repositories.

Benefits

Work in a fully remote environment

Opportunity to work on cutting-edge AI projects

Potential for contract extension

Qualifications

• Experience working with well-maintained repositories with 500+ stars is required.
• Comfortable running, modifying, and testing real-world projects locally.
• Previous participation in LLM research or evaluation projects is a plus.

Responsibilities

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

Skills

Proficiencie with Git

Proficiency with Docker

Ability to understand complex codebases

Experience contributing to open-source projects

Working knowledge of C++

Working knowledge of Java

Working knowledge of GO

Job description

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Remote Senior Software Engineer - 34123, manchester

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Client:

Turing

Location:

manchester, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

About the project:

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 repositories 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
• Working knowledge of other major languages (e.g., C++, Java, GO etc.) is a nice to have.
• 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.
• Potential for contract extension based on performance and project needs.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.