As a GenAI Engineer, you will develop and implement independent Generative-AI models, (Multi-)Agent-based LLM applications, and KI-based solutions for customer-specific requirements. You will identify and analyze problems in the context of KI and generative models, and work closely with customers to present results in a comprehensible manner.
Requirements
- Completed studies with a technical background, e.g. Computer Science, Business Informatics, (Business-) Mathematics, Data Science, or similar
- Experience with Generative AI, LLMs, NLP, and KI-based production systems, knowledge of Python, R, Rust, PySpark, or SQL
- Experience in Context Engineering, Prompt Engineering, Fine-Tuning, Retrieval-Augmented Generation (RAG), or similar LLM techniques
- Familiarity with cloud platforms like AWS, GCP, or Azure, containerization, and deployment of KI models
- Good communication skills in German and English
- Learning ability, team ability, and the ability to explain complex technical concepts clearly
- Good project management skills and the ability to work both independently and in a team
- Experience with Machine Learning
Benefits
- Regular and systematic (external and internal) further education opportunities in Generative AI, LLM development, and Cloud architecture
- Access to cross-industry projects, e.g. banks, insurance, automotive, retail
- Cooperation with leading partners in Cloud, AI/ML, and AutoML and access to Enterprise versions of leading LLMs
- Work in an open, flat environment within a broad Reply network for knowledge exchange
- Award-winning office space in the Munich city center with access to the main line Deutsche Bahn ticket
- Support for sports activities through EGYM Wellpass and other benefits of the Reply Group
- Flexible work environment between customer projects, Reply office, and remote work