Software Engineering Intern (Zurich)

3h ago

On-siteInternshipNegotiable

Job Overview

A new opening is available for a Software Engineering Intern 2027 (Zurich). Work is on-site, and the arrangement is listed as internship. The salary mentioned in the listing is rs,. Skills mentioned in the listing include REST APIs, Python, Java and Artificial Intelligence. For general context: REST APIs let the front end and back end of an application exchange data in a structured way. Artificial intelligence is increasingly part of everyday software products. Read the details below carefully and use the application link on this page if the role matches your profile.

★ REST APIs: Designing and consuming HTTP endpoints so a front end, mobile app or another service can exchange data.
★ Python: Writing readable scripts and backend or data code using Python's standard library and common packages.
★ Java: Object-oriented development on the JVM; Spring Boot is commonly used to build web services.
★ Artificial Intelligence: A general understanding of how AI systems learn from data, where they are useful, and where they can be unreliable.

★ REST APIs: HTTP methods and status codes, authentication basics such as tokens, validation and error responses
★ Python: core data structures, functions and modules, virtual environments and pip
★ Java: object-oriented principles, collections and streams, Spring Boot basics
★ Artificial Intelligence: supervised versus unsupervised learning, common real-world use cases, limitations and bias

This role may be suitable for candidates who are at the start of their career, such as recent graduates or final-year students, and want hands-on exposure to real projects. Those who are comfortable with REST APIs, Python, Java and Artificial Intelligence and enjoy building practical projects may find the requirements a good match. Because the work is on-site, applicants who can reach the workplace regularly may find it more practical. This is editorial guidance only, and the employer makes the final decision on suitability.

Applicants may want to highlight relevant experience with REST APIs, Python, Java and Artificial Intelligence in their CV. If you have used AI tools or built small projects with language models, briefly describe what you built and how you checked the results. If you have limited work history, academic projects, personal builds, and open-source contributions can demonstrate practical ability. A short, role-specific summary at the top of your CV usually reads better than a generic profile. These are general tips, not requirements stated by the employer.

These suggested questions can help you prepare for an interview by focusing on the skills, responsibilities, and technical areas relevant to this role. They are for preparation only and are not confirmed employer questions.
Q: How would you handle authentication and input validation for a REST API you are building?
Q: How do lists, tuples, sets, and dictionaries differ in Python, and when would you use each?
Q: How does Spring Boot simplify building a REST service, and what does dependency injection do for you?
Q: How would you explain the difference between traditional programming and machine learning to a non-technical person?
Q: What makes an API RESTful, and how do you choose HTTP methods and status codes for different operations?
Q: How do decorators and generators work in Python?
Q: Where could AI add value to a typical web application, and what risks should you plan for?
Q: This role is based on-site. How do you collaborate with teammates in an office setting, and what does your availability look like?
Q: What are you hoping to learn in this role, and how have you prepared so far?

Interested Candidates Fill the Form: