Remote Java Developer

Turing; Mumbai; Remote; INR 5,273,000 - 9,228,000; Part time

Benefits offered by this job

Fully remote environment

Work on cutting-edge AI projects

Job summary

A fast-growing AI company in Mumbai seeks experienced software engineers for a project involving large language models (LLMs). The role includes hands-on engineering work, analyzing GitHub issues, setting up code environments, and evaluating test coverage. Ideal candidates have over 3 years of experience, are proficient in Java, Git, and Docker, and are comfortable navigating complex codebases. This role offers remote work on cutting-edge AI projects with flexible commitments.

Qualifications

• Minimum 3+ years of overall experience.
• Strong experience with at least one programming language.
• 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.

Responsibilities

• Analyze and triage GitHub issues across trending libraries.
• Set up and configure code repositories, including Dockerization.
• 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.
• Opportunity to lead a team of junior engineers on projects.

Skills

Java

Git

Docker

Understanding complex codebases

Evaluating open-source contributions

Tools

Git

Docker

CI/CD pipelines

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, 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: Java
• 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)

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