Large Language Models Jobs in Germany

In this role, you will develop scalable data architectures in our Data Lakehouse, integrate AI services, define machine learning standards, and support innovative data and AI projects.

In this role, you will develop AI-based applications on the Huacaya platform, train and optimize large language models, integrate backend systems, and create tailored solutions for various industries.

In this role, you will develop holistic data security architectures for on-prem, cloud, and hybrid environments, implementing modern security concepts to protect sensitive data while complying with regulatory requirements.

In this role, you will develop modern AI solutions within the Asset Administration product line, take technical ownership, and translate innovative concepts into high-performing software.

In this position, you will design AI products for customer contact, develop end-to-end dialogues, and optimize AI-driven interactions while collaborating closely with various teams to implement technical requirements.

In this role, you will develop AI-enabled applications, integrate ML components into production systems, and optimize scalable web applications and real-time systems for innovative solutions at Solar Trade.

In this role, you will develop scalable AI applications, integrate AI components into existing systems, and optimize their performance while collaborating closely with cross-functional teams.

In this role, you will develop high-performance pipelines to process massive datasets for AI applications, improve agent architectures, and ensure data integrity through automated validation processes.

In this role, you design and optimize Agentic Architectures and RAG for our AI assistant, develop serverless AI services, and ensure data integrity in high-performance pipelines.

In this role, you will develop security-critical backend solutions using Java or Python, working on signature workflows and AI systems integration in enterprise environments.

In this role, you will enhance the Azure-based Global Data Platform, design ETL/ELT pipelines, and engage with LLM services and Data Mesh principles within interdisciplinary teams.