Technical implementation of software solutions with a strong focus on Artificial Intelligence
Object-oriented software development primarily in the Java ecosystem, supplemented by Python for implementing AI use cases
Design and implementation of solutions in the area of LLMs and Generative AI, especially applying prompt engineering and RAG architectures
Integration of frameworks such as LangChain or comparable technologies to optimize processes
Processing and structuring of unstructured data sets
Design and integration of interfaces (REST, OpenAPI) and connection of various services
Work in modern, container-based cloud environments (Docker, Kubernetes / OpenShift)
Ensuring the quality, traceability and performance of AI outputs

Solid experience in Java development and knowledge of Python
Practical experience with Large Language Models (LLMs) and the development of RAG systems
Confident use of modern cloud technologies and container orchestration
Ideally: knowledge of vector databases, embeddings and document pipelines (OCR, chunking)
Hands-on, result-oriented work style and the ability to quickly grasp complex domain contexts
Clean documentation and the ability to seamlessly hand over deliverables
Valid residence or work authorization in the EU, the EEA, Switzerland or the United Kingdom (UK)

AI Developer – RAG

Key skills