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working student - ai & software engineering (f/m/d)

redalpine·Zug·22.09.2026

 redalpine.jobs.personio.com

 
 
part_time80–100%
Job written in
English
Location
Zug
Work type
Hybrid
Type
Part-time

 

The role of a working student in AI & software engineering at redalpine involves contributing to the development of technology that supports the firm's investment strategies. redalpine is a pan-European venture capital firm that invests in and supports ambitious entrepreneurs, helping them turn their visions into reality. The company has a strong presence in Europe, with offices in Zurich, Berlin, London, and a partner location in San Francisco. The main day-to-day responsibilities include writing clean, reliable code to build and maintain internal software and data systems, contributing to backend services, data pipelines, and database structures. Additionally, the role involves rapid prototyping of internal tools and AI-driven features, leveraging modern AI tools and APIs to automate workflows, and working closely with non-technical team members to understand their workflows and challenges. The goal is to translate these into simple, effective technical solutions. To be successful in this role, candidates must have a strong technical background, currently studying Computer Science, Engineering, or a related technical field, with solid coding skills. A good grasp of software engineering basics, such as data structures, APIs, and working with databases, is essential. Hands-on experience through internships, side projects, or open-source contributions is also required. Candidates should have a builder mindset, enjoying turning ideas into working solutions and being excited to ship quickly and iterate. Additionally, a proactive, curious, and pragmatic approach to problem-solving is crucial, along with a natural integration of AI tools into daily workflows. Nice-to-have skills include familiarity with LLM application development, experience with automation platforms, and a basic understanding of IT/DevOps concepts and data fundamentals. The role offers a dynamic environment with a high-performance culture, deep exposure to Europe's VC ecosystem, and the opportunity to work on impactful projects from day one. What the role asks for: - Study of Computer Science, Engineering or a related technical field. - Strong knowledge in Software-Engineering fundamentals. - Practical experience through internships, side projects or Open-Source contributions. - A natural handling of AI-Tools in daily workflow.

 

 

 

 

 

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