Senior Ruby Engineer for LLM Evaluation & Repo Validation

Turing Enterprises, Inc.

Pakistan

Remote

PKR 9,274,000 - 21,640,000

Part time

14 days+

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Benefits offered by this job

Fully remote
Cutting-edge AI projects
Multiple hours options (20/30/40)
Contractor role (no medical/paid leave

Job summary

Turing Enterprises, Inc. is seeking a Senior Software Engineer – Ruby with LLM Evaluation & Repository Validation.

You will perform hands-on software engineering, automate environments, triage issues, and evaluate test coverage on real-world codebases. The role involves setting up repositories with Docker, running projects locally, leading junior engineers, and collaborating with researchers to identify hard problems for LLMs.

Qualifications

  • Minimum 3+ years of overall software engineering experience.
  • Strong experience with Ruby is required.
  • 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.

Responsibilities

  • 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.

Skills

Ruby
Git
Docker
CI/CD

Tools

Docker

Job description

Turing Enterprises, Inc. is seeking a Senior Software Engineer – Ruby with LLM Evaluation & Repository Validation.

You will perform hands-on software engineering, automate environments, triage issues, and evaluate test coverage on real-world codebases. The role involves setting up repositories with Docker, running projects locally, leading junior engineers, and collaborating with researchers to identify hard problems for LLMs.

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