Overview :
Youll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development.
This is a unique opportunity to blend practical software engineering with AI :
- Analyze and triage GitHub issues across trending open-source libraries.
- Set up and configure code repositories, including Dockerization and environment setup.
- Evaluating 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.
- Opportunities to lead a team of junior engineers to collaborate on Skills :
- Minimum 5+ years of overall experience
- Strong experience with at least one of the following languages : Rust
- 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.
- 3 -4+ years of relevant software development experience.
Other Details :
Rust - min 3+ yrs of exp.Immediate - Max NP : 1 weekCommitment required : 20 / 30 / 40 hours / week with some overlap with PSTEmployment type : Contractor assignment (no medical / paid leave)(ref : hirist.tech)