Remote | Senior Software Engineer – LLM Evaluation & Repository Validation

We are sharing a specialised part-time consulting opportunity for experienced Senior Software Engineers with tech-lead-level expertise to contribute to advanced LLM evaluation, repository validation, and realistic software-engineering benchmark development.

Selected professionals will work with high-quality public repositories to develop and validate verifiable software-engineering tasks, configure reproducible development environments, analyse open-source issues, assess test quality, and evaluate how advanced language models perform on realistic bug-fixing and code-modification scenarios.

• Analyse issues across well-maintained public software repositories
• Identify technically meaningful problems suitable for LLM evaluation
• Triage issues by complexity, reproducibility, and engineering relevance
• Navigate repository history to understand implementation context
• Prioritise problems that require substantive software-engineering reasoning

• Configure complex repositories for reliable local execution
• Build reproducible development and testing environments
• Containerise projects using Docker where appropriate
• Resolve dependencies and environment-specific configuration issues
• Validate that repositories can be consistently executed and tested

• Modify and run real-world codebases locally
• Evaluate model performance on bug-fixing and implementation tasks
• Assess whether generated solutions correctly address repository issues
• Identify failure patterns across different programming languages and task types
• Compare generated solutions against professional engineering expectations

• Evaluate unit-test coverage and overall test quality
• Determine whether existing tests adequately validate intended behaviour
• Identify missing edge cases and weak verification mechanisms
• Develop or refine tests where stronger validation is required
• Ensure evaluation tasks have objective and reproducible outcomes

• Collaborate with research teams on repository and task selection
• Identify software-engineering problems that remain challenging for LLMs
• Contribute insight into benchmark difficulty and dataset coverage
• Support expansion across programming languages and task complexity
• Provide technical leadership or guidance to junior engineers where required

• Senior or tech-lead-level software-engineering experience
• Strong expertise in at least one of Python, JavaScript, Java, Go, Rust, C, C++, C#, or Ruby
• Comfortable working across unfamiliar and complex codebases
• Strong proficiency with Git and repository-based development workflows
• Practical Docker and environment-setup experience
• Ability to run, modify, debug, and test production-quality software locally
• Strong understanding of software testing and unit-test design
• Ability to evaluate code quality, test coverage, and implementation correctness
• Experience working with high-quality public repositories
• Familiarity with widely used repositories with 500+ stars
• Experience contributing to or evaluating open-source software is advantageous
• Strong debugging and issue-triage capabilities
• Ability to identify technically challenging software-engineering tasks
• Clear written communication and technical reasoning skills
• Comfortable collaborating remotely with research and engineering teams
• Previous LLM research or evaluation experience is advantageous but not required
• Experience with developer tools or software-automation agents is also beneficial

• Part-time independent contractor engagement
• Fully remote
• Commitment: approximately 20 hours per week
• Some overlap with PST working hours is required
• Initial contract duration is approximately 3 months
• Expected project start is the following week
• No medical or paid-leave benefits are included under the contractor arrangement
• Work will involve public repository analysis, issue triage, environment setup, testing, and LLM evaluation
• Assignments may span Python, JavaScript, Java, Go, Rust, C/C++, C#, Ruby, and related technologies
• Project work may include development-environment automation and repository validation
• Contributors may have opportunities to lead or support junior engineers
• Work must be completed without using confidential, proprietary, unreleased, employer-restricted, client-restricted, or otherwise protected code, datasets, architecture materials, or technical information belonging to any employer,…