AI Engineer

Aenova Holding GmbH is seeking an AI engineer for its Starnberg (Percha) location. This full-time IT role involves developing and operating AI agents, platform components and AI products.

• Develop, implement and operate scalable AI agents and related platform components such as APIs, data access and tool integrations. Ensure reliable processes and seamless connections to Snowflake and the internal AI platform.
• Extend and improve data models for AI use cases, working closely with data engineers and data analysts to build a reliable, high-quality data foundation for agent-based solutions.
• Design and develop AI agent features and AI products with a focus on ease of use, operational stability and maintainability. Provide visibility into agent usage, performance, errors and results.
• Work across departments with AI champions, the Digital Transformation team and relevant business stakeholders to implement AI use cases and turn business requirements into technical solutions.
• Define practical engineering standards, develop reusable components and establish useful guidelines to support sustainable, scalable AI development.

• A completed degree in a STEM subject or a comparable qualification.
• Relevant professional experience in a technical role, such as data platform engineering, including at least two to three years of practical experience in AI engineering or developing AI-powered applications, AI agents or LLM-based solutions.
• Practical experience or a solid understanding of AI orchestration and agent frameworks such as n8n, plus modern AI engineering concepts such as RAG, MCP and workflow automation.
• In-depth knowledge of data modeling and data workflows on modern cloud data platforms, enabling you to build a scalable, trustworthy data foundation for AI solutions.
• Very good Python and SQL programming skills and practical experience integrating cloud services, APIs and platforms such as Azure and Snowflake.
• Strong analytical thinking and the ability to understand and design modular, scalable agent workflows in a structured way. A practical approach to technical challenges with a clear focus on implementation.
• An interdisciplinary approach, connecting technical solutions with business requirements, and a team-oriented personality with a strong, proactive attitude.
• Good spoken and written German and English. Proven problem-solving skills and a commitment to continuously improving AI solutions and working methods.