Working Student AI Agent Orchestration 40-60%

Description

Together with our customers, we combine the real and digital worlds.

With technology, software and services for smart buildings, we transform the everyday for everyone. By combining the real and digital worlds, we empower our customers to reach their decarbonization goals, lower their operating costs and create world-class occupant experiences for their people. It’s not just about improving buildings – it’s about creating efficient, safe, adaptable and sustainable environments, which improve the way the world lives and works.

As a student trainee, intern or trainee, you are an important part of #TeamSiemens. Would you also like to play an active role in influencing current trends and developments and make a positive impact on the lives of millions of people in Switzerland? Then you’ve come to the right place! Apply today for the position of AI Agent Orchestration Working Student – your team is looking forward to meeting you!

Responsibilities

• You support the design and documentation of agent personas and system prompt instruction files to define the behaviour and scope of language models
• Building on this, you help develop modular skills and functions that agents can use to perform specific tasks
• In this context, you contribute to breaking down complex tasks into manageable sub-agents and coordinating their interactions
• Additionally, you assist in applying structured state and task management methods, such as todo lists or session tracking, to monitor progress across multi-step tasks
• Complementing these activities, you work on prompt engineering by formulating clear system prompts and instructions to ensure reliable model outputs

Qualifications

• You are enrolled at a Swiss university or university of applied sciences in the field of artificial intelligence
• Experience with agent design, including writing agent personas and system prompt instruction files
• Skilled in building modular functions for agents and have knowledge of multi-agent orchestration patterns
• Experience with AI coding assistants such as GitHub Copilot, Cursor, or similar tools is a plus
• You are committed to a two-year engagement in a part-time working student role
• You work independently, demonstrating reliability and strong organizational skills
• Excellent English skills are required, German is an advantage

Benefits

• Mobile working from anywhere within Switzerland
• Opportunity to develop an international professional network
• Gain experience at one of the largest tech employers in Switzerland
• Membership in the Siemens Students Association comprising 200 members