Senior Software Engineer for LLM Evaluation & Repository Validation

Role Overview: This position offers a unique opportunity to engage in the development of LLM evaluation and training datasets aimed at solving realistic software engineering challenges. You will play a critical role in creating verifiable software engineering tasks based on public repository histories, utilizing a synthetic approach with human-in-the-loop methodologies while 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 present challenges for LLMs.
• Lead a team of junior engineers on collaborative projects.

Qualifications:

• Minimum of 3+ years of overall experience.
• Strong experience with C#.
• Proficiency in 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 compensation commensurate with experience.

Eligibility:

• Must have the legal right to work in the specified locations.

Evaluation Process:

• Two rounds of interviews (60 minutes technical + 30 minutes technical & cultural discussion).

Why Join Us? This role places you at the forefront of evaluating how LLMs interact with real code, significantly influencing the future of AI-assisted software development. Join a fast-growing AI company and blend practical software engineering with AI research.