Remote Python Engineer

Turing; Chennai District; Remote; INR 1,922,000 - 3,204,000; Part time

Benefits offered by this job

Work in a fully remote environment

Opportunity to work on cutting-edge AI projects

Contractor engagement: 3 months

Job summary

A leading AI company is seeking experienced software engineers at the tech lead level to work remotely on innovative AI projects. The role includes analyzing GitHub issues, setting up development environments, and collaborating with researchers on evaluating LLMs. Candidates should possess a strong background in Python and experience with Git and Docker. This opportunity allows you to be at the forefront of AI-assisted development, driving the future of software engineering.

Qualifications

• Minimum 3+ years of overall experience in software engineering.
• Strong experience with at least one programming language (Python preferred).
• Experience with Git, Docker, and understanding complex codebases.
• Ability to understand and navigate complex 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.
• Collaborate with researchers on LLM challenges.
• 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.
• Lead a team of junior engineers to collaborate on projects.

Skills

Python

Git

Docker

Software pipeline setup

Codebase navigation

Tools

Git

Docker

Job description

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 is to build verifiable SWE tasks based on public repository histories in a synthetic way with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, etc.

About the Role

We are looking for experienced software engineers (tech lead level) familiar with high-quality public GitHub repos 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.

Day‑to‑Day 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 design and identify repositories and issues that are challenging for LLMs.
• 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]

Application Process

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.