Software Engineer - AI and Machine Learning (Remote)
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Key skills for this role
About the Role
We are seeking a Senior Software Engineer – C# (LLM Evaluation & Repository Validation) to work on a part-time basis.
Key Skills for This Role
Responsibilities
- Analyze and triage GitHub issues across trending open source libraries to assess feasibility for LLM evaluation
- Set up and configure code repositories, including Dockerization and environment setup, for local testing and evaluation
- Evaluate unit test coverage and quality in real world codebases to identify gaps relevant to LLM performance
- Modify and run codebases locally to assess how LLMs interact with real code in bug fixing and development tasks
- Collaborate with researchers to design and identify repositories and issues that present meaningful challenges for LLMs
Requirements
- Minimum 3+ years of overall software engineering experience
- Strong proficiency in C# and ability to navigate complex codebases efficiently
- Experience with Git, Docker, and basic software pipeline setup for repository configuration and testing
- Hands on experience running, modifying, and testing real world open source projects locally
- Ability to understand and evaluate unit test coverage and quality in existing codebases
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.
- The project involves building LLM evaluation and training datasets to train models on realistic software engineering problems using verifiable SWE tasks based on public repository histories.
- This role focuses on hands on engineering, repository validation, and evaluation of LLM performance in bug fixing scenarios.
Key Responsibilities
- Analyze and triage GitHub issues across trending open source libraries to assess feasibility for LLM evaluation.
- Set up and configure code repositories, including Dockerization and environment setup, for local testing and evaluation.
- Evaluate unit test coverage and quality in real world codebases to identify gaps relevant to LLM performance.
- Modify and run codebases locally to assess how LLMs interact with real code in bug fixing and development tasks.
- Collaborate with researchers to design and identify repositories and issues that present meaningful challenges for LLMs.
Required Skills & Qualifications
- Minimum 3+ years of overall software engineering experience.
- Strong proficiency in C# and ability to navigate complex codebases efficiently.
- Experience with Git, Docker, and basic software pipeline setup for repository configuration and testing.
- Hands on experience running, modifying, and testing real world open source projects locally.
- Ability to understand and evaluate unit test coverage and quality in existing codebases.
More About the Opportunity
- This role offers a unique opportunity to work on cutting edge AI projects with leading LLM companies, contributing to the future of AI assisted software development.
- Opportunities exist to lead a team of junior engineers and shape the evaluation methodology for LLM performance in software engineering tasks.
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