Working Student (m/f/x) - Agentic AI & Automation

The appliedAI Initiative elevates Europe’s industry to become shapers in the age of AI, creating a future that we desire to live in. Through our ecosystem of strong partners, comprehensive programs, services and solutions we advance companies holistically on their AI journey. With our uniquely diverse, interdisciplinary, and driven team, we build on deep technical expertise while specializing on applicability of the solutions. We share a mindset of collaboration and openness with our ecosystem of leading companies and tech players. Our common goal is to strengthen the European landscape, jointly creating unique knowledge for applying trustworthy AI. We believe that AI Agents will be the dominant topic for AI in the near future and that appliedAI with its partner ecosystem will impact how this technology is being used in industry and beyond in Europe.

The Internal AI team is on a mission to make appliedAI itself smarter - building the agent-driven automation layer that lets our colleagues hand off repetitive cognitive work and focus on what only humans can do. As a working student (m/f/x), you’ll join a team that ships to real internal users in short cycles, working closely with colleagues across the organization from discovery through to delivery. It’s a hands-on role with genuine ownership: you’ll see your work go from prototype to production within weeks.

Your tasks will include:

• Support process discovery sessions with internal teams - help map workflows, document decision points, and identify automation opportunities
• Assist in building and maintaining n8n workflows that connect agents to Slack and other business systems
• Contribute to developing Python services and LangGraph agents for stateful tasks involving tool usage, structured outputs, and multi-step reasoning
• Help connect agents to appliedAI’s LLM APIs and external systems via REST APIs, webhooks, and standard authentication patterns
• Support the implementation of production best practices - error handling, retries, logging, and observability - to ensure reliable operation
• Collaborate in iterative development cycles, from prototype to pilot to production-ready template