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

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.

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.

Job Responsibilities:

• Assist in the design, development, testing, and deployment of software solutions.
• Write clean, efficient, and maintainable code following best practices.
• Collaborate with senior 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.

Requirements:

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, Tensor Flow, Py Torch, Hugging Face.
• Knowledge of DevOps, CI/CD, or containerization tools (e.g., Docker, Kubernetes).

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