Senior Software Engineer – Go LLM Evaluation

Turing Enterprises, Inc.; Pakistan; Remote; PKR 22,896,000 - 36,253,000; Part time

Benefits offered by this job

Fully remote environment

Contractor assignment (no medical/paid

Time commitment options: 20/30/40 hrs/

Job summary

Turing Enterprises, Inc. is seeking a Senior Software Engineer – Go for LLM evaluation and repository validation. The role involves hands-on software engineering, automation, triaging issues, and assessing test coverage in a remote contractor setup.

Ideal candidates have 3+ years of experience, strong Go skills, and familiarity with Git, Docker, and CI/CD pipelines. You may collaborate with researchers and potentially lead junior engineers on projects.

Qualifications

• 3+ years of overall software engineering experience.
• Strong Go programming experience.
• Proficiency with Git, Docker, and basic software pipeline setup.
• Ability to understand and navigate large codebases.
• Experience contributing to or evaluating open-source projects is a plus.

Responsibilities

• Analyze and triage GitHub issues across trending 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 repositories and issues challenging for LLMs.
• Opportunity to lead a team of junior engineers on projects.

Skills

Go

Git

Docker

CI/CD

Code navigation

Tools

Environment automation

Job description

BHAGYESH MAHAJAN thinks this job is a great fit for you! Continue from this link to keep the referral active with your application.

Senior Software Engineer – Go (LLM Evaluation & Repository Validation)

Skills Go

Overview

Job Title: Senior Software Engineer – LLM Evaluation & Repository Validation

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: Go
• 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)