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Remote, generalist software-engineer title and mid-level (3+ years) amplify applicant competition.
Go, Docker, and codebase expertise are broadly transferable across industries, so background fit sensitivity is low.
Explicit 3+ years plus mandatory Go, Docker, and Git requirements produce moderately strict shortlisting filters.
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Develop and automate development environments, including Docker setup and pipeline configuration.
Analyze and triage GitHub issues from public repositories, evaluate unit test coverage and quality, and modify codebases to test LLM performance in bug-fixing.
Lead and collaborate with researchers and junior engineers to identify challenging software engineering tasks and contribute to building LLM evaluation datasets.
At least 3 years of software engineering experience.
Strong experience with Go programming language.
Proficiency with Git, Docker, and software pipeline setup.
Ability to run, modify, and test complex real-world codebases locally.
Experience with public GitHub repositories and open-source project contributions or evaluations.
Comfortable working remotely with partial overlap of working hours with PST timezone.
Capable of leading junior engineers and collaborating with researchers on AI and LLM software evaluation projects.