AI Developer

Enabler for smaller, more powerful and more energy-efficient microchips - Work where tomorrow is created. Around 80 percent of all microchips worldwide are manufactured with ZEISS technologies. As the heart of every electronically controlled system, they are indispensable in our daily lives – whether in smartphones, smart homes or smart factories. ZEISS is the technology leader in semiconductor manufacturing equipment. With high-precision lithography optics, photomask systems and solutions for process control, ZEISS enables the production of ever smaller, more powerful and more energy-efficient microchips – and thus decisively shapes the age of micro- and nanoelectronics with its innovations.

• You develop AI-supported software solutions and transfer prototypes into stable, scalable and productively usable applications.
• You design reusable components, interfaces and integration mechanisms for AI agents and agent-based platforms.
• You integrate language models, data sources, software repositories and enterprise systems and develop intelligent search, analysis and evaluation functions, e.g. based on semantic search and Retrieval Augmented Generation.
• You develop mechanisms for orchestration, logging, monitoring and error handling of AI systems.
• You ensure quality, security and maintainability through automated tests, code reviews, monitoring and technical documentation.
• You further develop technical solutions independently and coordinate requirements with specialist departments, software development, architecture and platform teams.

• Successfully completed degree in Computer Science, Software Engineering or a comparable field.
• Several years of practical experience in professional software development; very good programming skills in C# and Python.
• Sound knowledge of generative AI, large language models (LLMs), AI agents, Retrieval Augmented Generation, semantic search, Knowledge Graphs and the connection of language models with enterprise knowledge.
• Experience with modern AI frameworks and interfaces, e.g. LangChain, LangGraph, Model Context Protocol (MCP) and OpenAI-compatible interfaces.
• Good knowledge of software architecture, system integration, reusable software components and development platforms such as GitHub and Azure DevOps.
• Experience with automated tests as well as authentication, authorization and access concepts, in particular Single Sign-On and Active Directory.
• Independent, structured and solution-oriented way of working, teamwork, technological curiosity as well as very good German and English skills.