Remote Software Engineer (JavaScript)

Turing; Bengaluru; Remote; INR 22,730 - 32,373; Full time

Benefits offered by this job

Fully remote environment

Work on cutting-edge AI projects

Job summary

A leading AI company is seeking experienced software engineers at the tech lead level for a remote role. You'll work on LLM evaluation and training projects, involving hands-on development and automation tasks. Responsibilities include analyzing GitHub issues, setting up code repositories, and collaborating with researchers. Candidates should have over 3 years of experience, proficiency in Git and Docker, and an ability to navigate complex codebases. Join us at the forefront of AI-assisted software development, contributing to cutting-edge projects.

Qualifications

• Minimum 3+ years of overall experience.
• Proficiency with Git, Docker, and basic software pipeline setup.
• 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.
• Evaluate unit test coverage and quality.
• Modify and run codebases locally to assess LLM performance.
• Collaborate with researchers on challenging repositories.
• Lead junior engineers on collaborative projects.

Skills

Git

Docker

Software pipeline setup

Understanding complex codebases

Open-source project evaluation

Job description

1 day 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 set‑up.
• 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.
• Proficiency with Git, Docker, and basic software pipeline set‑up.
• 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:

• 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.

Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.