Remote Senior Software Engineer - 34123

JR United Kingdom; Oxford; Remote; GBP 60,000 - 90,000; Full time

Job summary

A cutting-edge AI company seeks a Remote Senior Software Engineer. This role focuses on evaluating how LLMs interact with real code and involves hands-on software engineering, such as automating development environments and assessing open-source repositories. Join a forward-thinking team influencing AI-assisted software development in a fully remote work environment.

Benefits

Work in a fully remote environment

Opportunity to work on cutting-edge AI projects

Potential for contract extension based on performance

Qualifications

• Experience working with well-maintained, widely-used repositories with 500+ stars required.
• Working knowledge of languages like C++, Java, or GO is nice to have.
• Comfortable running, modifying, and testing real-world projects locally.

Responsibilities

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

Skills

Proficiency with Git

Docker

Understanding complex codebases

Experience evaluating open-source projects

Tools

Docker

Job description

Remote Senior Software Engineer - 34123, oxford district

Client:

Turing

Location:

oxford district, United Kingdom

Job Category:

Other

Online job hunting tools

-

EU work permit required:

Yes

Job Views:

5

Posted:

31.05.2025

Expiry Date:

15.07.2025

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

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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.

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Created on 31/05/2025 by JR United Kingdom