About us
Visorway AG is an AI-native service company for Sourcing Advisory. We turn the methods, judgment, and experience of leading sourcing experts into complete services that organizations can use on demand.
Our services help corporate teams, public institutions, and consulting firms with sourcing work such as tender documents, supplier research and selection, bid evaluation, and negotiation preparation.
Our mission: Unlocking progress for all.
We develop specialized AI Advisor Agents that capture expert knowledge, interpret complex business logic, and deliver structured, domain-specific services. We combine expert frameworks, documents, workflows, and human judgment to make sourcing expertise scalable, consistent, and available when it is needed.
At Visorway AG, we are building the next generation of AI-native service delivery and a team that is redefining how expert work can be delivered.
The role
As a Working Student in AI Engineering, you will help us build AI-native Sourcing Advisory services that make expert procurement knowledge available on demand. You will work at the intersection of artificial intelligence, software engineering, product development, and sourcing.
You will contribute to workflows that help organizations structure sourcing decisions, work with expert knowledge, and produce actionable results. You will collaborate closely with engineers, product thinkers, sourcing experts, and the founding team - gaining hands-on experience in building real AI services from idea to production.
This is a practical role for someone who wants to understand not only how AI models work, but also how to build dependable systems around them.
Your responsibilities
- Help design and implement AI-powered Sourcing Advisory features, workflows, and user-facing product capabilities
- Translate sourcing expert methods, frameworks, and business requirements into structured AI experiences for tender documents, supplier research, bid evaluation, and negotiation preparation
- Build systems that combine conversations, documents, workflows, domain-specific knowledge, and human-in-the-loop expert input
- Develop evaluation scenarios, quality checks, and test cases; investigate unexpected model outputs and improve the reliability, performance, and usefulness of AI features
- Research language models, AI agents, retrieval, multimodal AI, and AI-assisted workflows, and contribute to product discussions
- Collaborate with the team to document concepts, decisions, experiments, and learnings
Your profile
- You are currently pursuing a Master's degree or PhD in Computer Science, Data/AI Engineering, or a related field at a technical university (ETH Zurich, University of Zurich, EPFL, ZHAW, or equivalent)
- You must be based in Switzerland and hold at least a B-Permit for the duration of the internship.
- Strong programming fundamentals and experience with software, prototypes, or data-driven applications, plus familiarity with machine learning, language processing, retrieval, or data structures
- Genuine interest in AI systems and a critical mindset when evaluating their strengths, limitations, and behavior
- Comfortable learning unfamiliar technologies, breaking down complex problems, and working across different parts of a product
- Able to communicate technical ideas clearly in English; native or fluent German and fluent English are required, Swiss German or French is a plus
- Structured, curious, and self-motivated, with an interest in sourcing, procurement, enterprise software, knowledge work, or the startup ecosystem
Experience with AI applications, software development, data analysis, research projects, or building personal technology projects is a plus, but not required.
What we offer
- The opportunity to work on a real AI-native Sourcing Advisory product from an early stage, with meaningful ownership and visible impact
- Direct collaboration with experienced founders, engineers, and domain experts
- Practical experience across AI product development, software engineering, sourcing workflows, evaluation, and experimentation
- A front-row seat in building an AI-native service company that is transforming expert work, with an agile culture and flat hierarchies
- Primary work location is Technopark Zurich; remote work is optional. After the initial 6 months, there is the option to extend for a further 6 months or move into permanent employment. The position comes with fair, competitive compensation aligned with the market and your experience