Remote C++ Developer

Turing; Dadri; Remote; INR 7,910,000 - 14,501,000; Part time

Benefits offered by this job

Work in a fully remote environment

Opportunity to work on cutting-edge projects

Contractor assignment (no medical/paid

Job summary

A leading AI company in India is seeking experienced software engineers (tech lead level) to work on cutting-edge LLM evaluation projects. You will analyze GitHub issues, set up code repositories, and evaluate unit tests. Candidates should have over 3 years of experience, with strong C++ skills and proficiency in Git and Docker. This remote role offers flexible work commitments ranging from 20 to 40 hours per week and is ideal for those passionate about AI and open-source projects.

Qualifications

• Minimum 3+ years of overall experience.
• Strong experience with at least one programming language, preferably C++.
• Proficiency with Git, Docker, and basic software pipeline setup.

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.
• Collaborate with researchers on LLM-related challenges.
• Opportunity to lead a team of junior engineers to collaborate on projects.

Skills

C++

Git

Docker

Software pipeline setup

Codebase navigation

Open-source project evaluation

Tools

Docker

Git

CI/CD

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: C++
• 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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