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Remote, mid-level generalist Ruby role with known brand and common skillset increases competition.
Ruby backend skills are transferable, though LLM evaluation and open-source triage add moderate specialization.
Explicit 3+ years requirement plus mandatory Ruby, Git, and Docker skills enforce moderate filtering.
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Develop and automate development environments including Dockerization and pipeline setup for public GitHub repositories.
Analyze and triage issues on trending open-source libraries and evaluate unit test coverage and quality.
Work hands-on with real-world codebases to assess LLM performance in bug-fixing and collaborate with researchers to select challenging repositories and issues.
Minimum 3+ years of overall software engineering experience.
Strong experience with Ruby programming language.
Proficiency with Git and Docker and basic software pipeline setup.
Work commitment: minimum 20 hours/week, with at least 4 hours overlap with PST; employment type is contractor assignment.
Experienced at navigating and modifying complex, high-quality public GitHub repositories.
Capable of leading junior engineers and collaborating closely with researchers on AI-related software projects.
Familiarity or experience with open-source contribution or evaluation, especially related to LLM research or software tooling is a plus.