Backend Software Engineer Project Intern (Corporate Service System) - 2026 Start (BS/MS)

As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.

Applications will be reviewed on a rolling basis - we encourage you to apply early.

Successful candidates must be able to commit to at least 3 months long internship period.

About the Team

The Corporate Service System team aims to deliver advanced product solutions in the corporate service domain for better management efficiency and user experience of staff services. We build intelligent decision-making platforms for business owners and build efficient & comfortable office lifestyles for employees. We also encourage creative ideas and lots of innovative products are grown from our daily work.

Job Responsibilities

• Assist in the design, development, testing, and deployment of software solutions.
• Write clean, efficient, and maintainable code following best practices.
• Collaborate with engineers to solve technical challenges.
• Participate in code reviews, debugging, and performance optimization.
• Develop and maintain technical documentation.
• Work with cross-functional teams, including product managers, designers and quality assurances, to deliver high-quality features.

Minimum Qualifications

• Currently pursuing an Undergraduate/Master in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Proficiency in at least one programming language (e.g., Golang, Java, C++, Python).
• Understanding of data structures, algorithms, and software development principles.
• Experience with version control systems (e.g., Git), databases (SQL or NoSQL) and cloud services (e.g., AWS, Azure).
• Strong problem-solving skills and a willingness to learn.

Preferred Qualifications

• Experience with AI, Machine Learning, or Large Language Models (LLMs).
• Familiarity with frameworks or technologies such as Spring Boot, TensorFlow, PyTorch, Hugging Face.
• Knowledge of DevOps, CI/CD, or containerization tools (e.g., Docker, Kubernetes).

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