Opens LinkedIn
- Employment type
- Contract
- Experience level
- Senior
- Posting language
- English
- Working hours
- 20 hours per week
Job summary
Analyze and triage issues in open-source repositories, configure and run codebases, and assess unit test quality and LLM performance in bug-fixing scenarios. Collaborate with researchers to select challenging repositories and issues, with opportunities to lead junior engineers.
Job details
Role Title: Senior Software Engineer – LLM Evaluation & Repository Validation Role Type: Contractor assignment (no medical/paid leave) Location: Remote What does day-to-day look like: 1. Analyze and triage GitHub issues across trending open-source libraries. 2. Set up and configure code repositories, including Dockerization and environment setup. 3. Evaluating unit test coverage and quality. 4. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. 5. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. 6. Opportunities to lead a team of junior engineers to collaborate on projects. Required Skills: 1. Strong experience with at least one of the following languages: Python, JavaScript, Java, Go, Rust, C/C++, C#, or Ruby. 2. Proficiency with Git, Docker, and basic software pipeline setup. 3. Ability to understand and navigate complex codebases. 4. Comfortable running, modifying, and testing real-world projects locally. 5. Experience contributing to or evaluating open-source projects is a plus. Nice to Have: 1. Previous participation in LLM research or evaluation projects. 2. Experience building or testing developer tools or automation agents. Offer details: 1. Commitment required: 20 hours per week with some overlap with PST 2. Employment type: Contractor assignment (no medical/paid leave) 3. Duration of contract: 3 months with expected start date as next week What You’ll Do 1. Analyze and triage GitHub issues across trending open-source libraries. 2. Set up and configure code repositories, including Dockerization and environment setup. 3. Evaluating unit test coverage and quality. 4. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. 5. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Apply Now!
What you’ll do
Analyze and triage issues in open-source repositories, configure and run codebases, and assess unit test quality and LLM performance in bug-fixing scenarios. Collaborate with researchers to select challenging repositories and issues, with opportunities to lead junior engineers.
Requirements
Strong experience in at least one listed programming language, proficiency with Git and Docker, and the ability to navigate, modify, run, and test complex real-world codebases are required. Open-source experience is a plus; prior LLM research or evaluation and developer-tool or automation-agent experience are desirable.
Listed skills
- Python · Preferred
- JavaScript · Preferred
- Java · Preferred
- Go · Preferred
- Rust · Preferred
- C++ · Preferred
- Ruby · Preferred
- Git · Preferred
- Docker · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python
- JavaScript
- Java
- Go
- Rust
- C/C++
- C#
- Ruby
- Git
- Docker
- Software Pipeline Setup
- Codebase Navigation
- Unit Testing
- Open-Source Evaluation
- LLM Evaluation
- Developer Tools
Job areas
- Software
- Technology
- Science & Research
- Management & Leadership
More jobs from Joblet-AI
Rust Backend Engineer (Remote)
- Remote
- Canada
- Posted Nov 11, 2026
Cybersecurity Research Participant (Remote)
- Remote
- Canada
- Posted Nov 11, 2026
Data Scientist (Remote)
- Remote
- Canada
- Posted Nov 11, 2026
Data Scientist (Remote)
- Remote
- Canada, United States
- Posted Nov 11, 2026