Full Stack Software Engineer (Remote)
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Key skills for this role
About the Role
Hired is seeking a Senior Software Engineer – C# (LLM Evaluation & Repository Validation) on a part-time contract basis. The role involves analyzing GitHub issues, setting up code repositories, evaluating test coverage, and developing automation scripts for LLM evaluation datasets.
Key Skills for This Role
Responsibilities
- Analyze and triage GitHub issues across trending open source libraries to identify areas for improvement and contribute to LLM evaluation datasets.
- Set up and configure code repositories, including dockerization and environment setup, to ensure seamless development and testing.
- Evaluate test coverage and quality to ensure high quality public GitHub repositories.
- Develop automation scripts to streamline development environment setup and issue triaging.
- Collaborate with the team to expand dataset coverage to different types of tasks in terms of programming language, difficulty level, and more.
Requirements
- Strong proficiency in C# programming language
- Experience with high quality public GitHub repositories and knowledge of GitHub issues and repository management
- Strong understanding of software engineering principles, including testing, debugging, and version control
- Ability to work independently and collaboratively as part of a distributed team
- Excellent communication and problem solving skills
- Familiarity with LLM evaluation and repository validation is desirable
Full Job Posting
Role Overview
- We are hiring for one of our clients, seeking a Senior Software Engineer – C# (LLM Evaluation & Repository Validation) to work on a part time basis.
- This role involves hands on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality, with a focus on LLM evaluation and repository validation.
- This project aims to build verifiable software engineering tasks based on public repository histories, expanding dataset coverage to different types of tasks.
Key Responsibilities
- Analyze and triage GitHub issues across trending open source libraries to identify areas for improvement and contribute to the development of LLM evaluation and training datasets.
- Set up and configure code repositories, including dockerization and environment setup, to ensure seamless development and testing.
- Evaluate test coverage and quality to ensure high quality public GitHub repositories and contribute to the project's goals.
- Develop automation scripts to streamline development environment setup and issue triaging, improving overall efficiency and productivity.
- Collaborate with the team to expand dataset coverage to different types of tasks in terms of programming language, difficulty level, and more, driving the project's success.
Required Skills & Qualifications
- Strong proficiency in C# programming language, with experience in software engineering and development environment automation.
- Experience with high quality public GitHub repositories and knowledge of GitHub issues and repository management.
- Strong understanding of software engineering principles, including testing, debugging, and version control.
- Ability to work independently and collaboratively as part of a distributed team, with excellent communication and problem solving skills.
- Familiarity with LLM evaluation and repository validation, as well as experience with machine learning and AI research, is desirable.
More About the Opportunity
- This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of LLM evaluation and training datasets.
- The successful candidate will have the chance to work on realistic software engineering problems, influencing the future of AI assisted software development.
- With a focus on innovation and collaboration, this role provides a platform for professional growth and development.
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