Software Engineer – Python (Remote)

• Role: Software Engineer – Python (Remote) • Location: Remote (Work from Anywhere) • Job Type: Part-Time • Payout: Competitive, based on experience Role Overview: We are hiring for one of our clients, seeking a Senior Software Engineer – Python (LLM Evaluation & Repository Validation) to work on a part-time basis. The role involves building verifiable software engineering tasks based on public repository histories using synthetic approaches with human-in-the-loop validation. The projects focus on creating LLM evaluation and training datasets for realistic software engineering problems. Key Responsibilities: • Analyze and triage GitHub issues across trending open-source libraries to assess LLM performance in bug-fixing scenarios. • Set up and configure code repositories, including Dockerization and environment setup, for evaluation purposes. • Evaluate unit test coverage and quality in public repositories to ensure robust dataset validation. • Modify and run codebases locally to assess how LLMs interact with real-world software projects. • Collaborate with researchers to identify repositories and issues that present challenges for LLMs, expanding dataset coverage. Required Skills & Qualifications: • Minimum 3+ years of overall software engineering experience with strong Python proficiency. • Hands-on experience with Git, Docker, and basic software pipeline setup for repository evaluation. • Ability to navigate and understand complex codebases, including open-source projects. • Experience contributing to or evaluating open-source projects is a plus. • Comfort with running, modifying, and testing real-world projects locally in development environments. More About the Opportunity: This role offers a unique opportunity to work on cutting-edge AI projects with leading LLMs, contributing to advancements in AI-assisted software development. The work involves blending practical software engineering with AI research to shape the future of developer tools. Equal Opportunity Employer: We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. Apply Now! Show more Show less

Minimum 3+ years of overall software engineering experience with strong Python proficiency. Hands-on experience with Git, Docker, and basic software pipeline setup for repository evaluation. Ability to navigate and understand complex codebases, including open-source projects. Experience contributing to or evaluating open-source projects is a plus. Comfortable with running, modifying, and testing real-world projects locally in development environments.

Analyze and triage GitHub issues across trending open-source libraries to assess LLM performance in bug-fixing scenarios. Set up and configure code repositories, including Dockerization and environment setup, for evaluation purposes. Evaluate unit test coverage and quality in public repositories to ensure robust dataset validation. Modify and run codebases locally to assess how LLMs interact with real-world software projects. Collaborate with researchers to identify repositories and issues that present challenges for LLMs, expanding dataset coverage.