Senior Software Engineer – C# LLM Evaluation

Turing Enterprises, Inc.; Pakistan; Remote; PKR 15,264,000 - 26,712,000; Part time

Benefits offered by this job

Fully remote

Contractor assignment

Flexible hours

Job summary

Turing Enterprises, Inc. is seeking a Senior Software Engineer focused on C# for LLM evaluation and repository validation.

This contractor role emphasizes hands-on development, environment automation, and collaboration with researchers on cutting-edge AI-driven software testing. You will analyze open-source projects, set up repositories with Docker, assess test coverage, and help shape tasks that push LLM capabilities in real-world coding scenarios.

Qualifications

• Minimum 3+ years of software engineering experience.
• Strong experience with C# and modern .NET.
• Proficient with Git, Docker and software pipeline setup.

Responsibilities

• Analyze and triage GitHub issues across open-source libraries.
• Set up and configure code repositories, including Dockerization and environment setup.
• Evaluate unit test coverage and quality.
• Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
• Collaborate with researchers to identify challenging repositories and issues for LLMs.
• Opportunity to lead a team of junior engineers on projects.

Skills

C#

Git

Docker

Unit testing

Tools

Git

Docker

CI/CD

Job description

Senior Software Engineer - C#(LLM Evaluation & Repository Validation)

Skills C#

Overview

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop ; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.

About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality

Why Join Us? Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You'll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.

What does day-to-day look like:

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up and configure code repositories, including Dockerization and environment setup.
• Evaluating unit test coverage and quality.
• Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
• Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs.
• Opportunities to lead a team of junior engineers to collaborate on projects.

Required Skills:

• Minimum 3+ years of overall experience
• Strong experience with at least one of the following languages: C#
• Proficiency with Git, Docker, and basic software pipeline setup.
• Ability to understand and navigate complex codebases.
• Comfortable running, modifying, and testing real-world projects locally.
• Experience contributing to or evaluating open-source projects is a plus.

Nice to Have:

• Previous participation in LLM research or evaluation projects.
• Experience building or testing developer tools or automation agents.

Perks of Freelancing With Turing:

• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.
• Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)
• Employment type : Contractor assignment (no medical/paid leave)

Evaluation Process (approximately 75 mins) :

• Two rounds of interviews (60 min technical + 30 min technical & cultural discussion)