Remote Java Backend Engineer

Turing

Chennai District

Remote

INR 1,674,000 - 2,567,000

Full time

14 days+

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Benefits offered by this job

Work in a fully remote environment

Opportunity to work on cutting-edge AI projects

Flexibility in working hours

Job summary

A leading AI company is seeking experienced software engineers at tech lead level for a unique opportunity to work on AI-assisted software development projects. The role involves automating development environments, analyzing GitHub issues, and evaluating LLM performance. Applicants should have a minimum of 3 years of experience, strong proficiency in Java, and experience with Git and Docker. This role is fully remote and offers flexibility in work hours, making it an exciting opportunity for those passionate about AI.

Qualifications

Minimum 3+ years of overall experience.
Strong experience with at least one programming language, preferably Java.
Proficiency with Git and Docker.
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 environments, including Docker.
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 challenge LLMs.
Potential to lead a team of junior engineers on projects.

Skills

Java

Git

Docker

Complex codebases

Open-source projects

Tools

CI/CD

Docker

Job description

4 days ago Be among the first 25 applicants

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.

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Seniority level