You support the development and operation of production-oriented AI workflows and agent systems.
You integrate internal data sources and systems (e.g., CRM, reporting, knowledge bases, project tools).
You develop and implement automation workflows using Make, n8n and custom integrations via LLM APIs (OpenAI, Anthropic, Mistral, open-source).
You identify and prioritize automatable processes together with all business units — from reporting and content production to customer advisory.
You design, develop and continuously optimize AI agents for analysis, research, reporting and decision-making processes.
You evaluate and prototype with various LLM models and architectures for different use cases — in close coordination with the Head of AI.
You are responsible for enabling the team through trainings, workshops and hands-on sessions — ensuring AI becomes a way of working rather than just a project.
You implement GDPR-compliant solutions (on-premise vs. cloud, Data Processing Agreements, data classification).
Requirements
You have hands-on experience with LLM APIs and automation tools — not only in theory, but you have built systems and put them into production.
Ideally, you 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 can analyze business processes and translate them into automation opportunities.
You think architecturally and decide which model is suitable for which use case, as well as what stays on-premise and what goes to the cloud.
You are confident translating between technical and business language and communicate persuasively with developers and executives alike.
You have very strong German skills at C2 level; good English skills are an advantage.
Tech Stack
Cloud
ETL
Open Source
Python
Benefits
Long-term collaboration is explicitly desired if there is a good fit.
You bring your own working methods, tools and expertise and are responsible for implementing and ensuring the quality of your solutions.
You work remotely with regular check-ins and clearly defined deliverables.
You take on a central role in building our AI infrastructure and have real scope to shape the work.