You will support the development and operation of production-grade AI workflows and agent systems.
You will integrate internal data sources and systems (e.g., CRM, reporting, knowledge bases, project tools).
You will design and implement automation workflows using Make, n8n and custom integrations via LLM APIs (OpenAI, Anthropic, Mistral, open-source models).
You will identify and prioritize automatable processes together with all departments — from reporting and content production to customer advisory.
You will design, develop and continuously optimize AI agents for analysis, research, reporting and decision-making processes.
You will evaluate and prototype with various LLM models and architectures for different use cases — in close coordination with the Head of AI.
You will be responsible for enabling the team through training, workshops and hands-on sessions — so that AI becomes a way of working, not just a project.
You will implement GDPR-compliant solutions (on-premise vs. cloud, data processing agreements, data classification).

You have hands-on experience with LLM APIs and automation tools — not just theoretical knowledge, but you have built systems and put them into production.
You ideally have solid Python skills as an integration and automation language.
You have experience with workflow automation platforms (Make, n8n, Zapier) and understand their limitations.
You understand data architectures, including APIs, data connectors, ETL/ELT pipelines and data normalization.
You have a basic understanding of vector databases (Pinecone, Weaviate, Qdrant, ChromaDB, etc.).
You are able to analyze business processes and translate them into automation opportunities.
You are confident translating between technical and business language and communicate effectively with developers and executive management alike.
You have very good German skills at C2 level; strong English skills are an advantage.

Attractive compensation package with clear development prospects within the AI team.
Flexible working model: remote-first with regular team touchpoints.
Budget for tools, infrastructure and professional development — we invest in AI, not just talk about it.
Real scope for impact and the opportunity to build something new — without legacy systems or bureaucracy.
Direct collaboration with the Head of AI and executive management — short lines of communication and fast decisions.
Exciting enterprise clients actively driving AI transformation (e.g., Hilti, Wien Energie, mobile.de and many others).

AI & Automation Manager

Key skills