Remote Python Engineer

Turing; Bengaluru; Remoto; INR 2.587.042 - 5.174.084; Part-time

Vantaggi offerti da questo lavoro

Fully remote work

Opportunity to work on cutting-edge AI projects

Descrizione del lavoro

A leading AI company is seeking experienced software engineers to contribute to LLM evaluation projects. The role involves hands-on software engineering tasks, such as analyzing GitHub issues, setting up code repositories, and evaluating test quality. Ideal candidates have over 3 years of experience, are proficient in Python, Git, and Docker, and can work remotely. This position offers a unique chance to impact AI-assisted software development by engaging with cutting-edge projects.

Competenze

• Minimum 3+ years of overall experience.
• Strong experience with at least one programming language, preferably Python.
• Proficiency with Git, Docker, and software pipelines.

Mansioni

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up and configure code repositories, including Dockerization.
• Evaluate unit test coverage and quality.

Conoscenze

Python

Git

Docker

Codebase navigation

Open-source contribution

Descrizione del lavoro

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: Python
• 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)
• Duration of contract: 3 month; [expected start date is next week]

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