Senior Software Engineer for LLM Evaluation & Repository Validation

Role Overview: This position focuses on developing and validating LLM evaluation and training datasets to address real-world software engineering challenges. You will engage in hands-on software engineering tasks, contributing to the creation of verifiable software engineering tasks based on public repository histories, while also expanding dataset coverage across various programming languages and difficulty levels.

Key Responsibilities:

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up and configure code repositories, including Dockerization and environment setup.
• Evaluate 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.
• Lead a team of junior engineers on collaborative projects.

Qualifications:

• Minimum of 3 years of overall experience.
• Strong experience with C#.
• 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.

Nice to Have:

• Previous participation in LLM research or evaluation projects.
• Experience building or testing developer tools or automation agents.

Work Terms:

• Commitments Required: At least 4 hours per day and a minimum of 20 hours per week with 4 hours of overlap with PST. Options for time commitment include 20 hrs/week, 30 hrs/week, or 40 hrs/week.
• Employment Type: Contractor assignment (no medical/paid leave).
• Location: Open to candidates from India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, and Mexico.

Compensation: Competitive rates based on experience.

Eligibility: Candidates must have the right to work in the specified locations.

Evaluation Process:

• Two rounds of interviews: 60 minutes technical and 30 minutes technical & cultural discussion.

Why Join Us? This role offers a unique opportunity to blend practical software engineering with AI research, working at the forefront of evaluating how LLMs interact with real code and influencing the future of AI-assisted software development.