Full Stack Software Engineer (Remote)
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Key skills for this role
About the Role
We are hiring a Senior Software Engineer with Go expertise to work on part-time remote basis, building and evaluating verifiable software engineering tasks from public repository histories.
Key Skills for This Role
Responsibilities
- Design, implement, and maintain Go based tools for automated repository analysis, issue triaging, and test coverage evaluation
- Develop and refine synthetic software engineering tasks aligned with real world code repositories
- Analyze and triage GitHub issues across high impact open source libraries to inform dataset curation
- Implement and automate development environment setups for task validation and performance testing
- Collaborate with cross functional teams to improve LLM evaluation frameworks
Requirements
- 5+ years of professional software engineering experience with Go
- Deep familiarity with public GitHub repositories, including issue tracking and version control workflows
- Experience designing and validating software engineering tasks or benchmarks, ideally in AI/ML contexts
- Proficiency in scripting and automation tools (e.g., Bash, Python)
- Strong problem solving skills and ability to work independently
Full Job Posting
Role Overview
- We are hiring for one of our clients, seeking a Senior Software Engineer – Go (LLM Evaluation & Repository Validation) to work on a part time remote basis.
- This role involves building and evaluating verifiable software engineering tasks derived from public repository histories using synthetic and human in loop approaches.
- The work directly supports the development of high quality datasets to train large language models for realistic software engineering problems.
Key Responsibilities
- Design, implement, and maintain Go based tools for automated repository analysis, issue triaging, and test coverage evaluation.
- Develop and refine synthetic software engineering (SWE) tasks aligned with real world code repositories, ensuring dataset quality and task diversity.
- Analyze and triage GitHub issues across high impact open source libraries to identify patterns and inform dataset curation priorities.
- Implement and automate development environment setups for consistent task validation and performance testing.
- Collaborate with cross functional teams to improve LLM evaluation frameworks and incorporate feedback into iterative development cycles.
Required Skills & Qualifications
- 5+ years of professional software engineering experience with Go, demonstrated through production grade projects or contributions to open source systems.
- Deep familiarity with public GitHub repositories, including issue tracking, version control workflows, and code review processes.
- Experience designing and validating software engineering tasks or benchmarks, ideally in AI or machine learning contexts.
- Proficiency in scripting and automation tools (e.g., Bash, Python) to streamline development and evaluation pipelines.
- Strong problem solving skills with the ability to work independently and iterate on technical solutions in a dynamic environment.
More About the Opportunity
- This role offers the chance to contribute to a cutting edge initiative at the forefront of AI assisted software development.
- Participants will influence how large language models interact with real code, shaping the future of developer tools and automation.
- The project combines practical software engineering with AI research, providing global exposure to evolving industry standards and collaboration with experts across disciplines.
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