LangGraph Jobs in Germany

In this role, you design and implement AI automations and LLM agents, integrating them into our data analytics systems while taking charge of the entire product life cycle.

In this role, you will develop innovative AI agents and data-driven systems on the Google Cloud Platform, design conversational AI solutions, and implement effective ETL processes for data-driven applications.

In this role, you develop tailored AI architectures with LLM technologies, design data platforms, and implement machine learning systems within agile teams for top clients.

In this role, you design and implement agent-based AI systems to automate workflows in accounting software, translating complex domain processes into robust, production-ready applications.

In this role, you design the architecture of large-scale distributed systems, select modern technologies, and develop components for agent communication and the implementation of RAG strategies and databases.

In this role, you will lead a new team of AI engineers, develop scalable backend systems, and ensure the technical implementation of AI use cases through modern API integration and cloud architectures.

In this role, you will lead a team of AI software and platform engineers to integrate AI applications into production-ready, scalable backend systems and establish agile workflows.

In this role, you develop tailored Generative AI solutions, implement scalable LLM applications, and work on integrating them into existing systems using modern technologies such as Python, Docker, and Kubernetes.

In this role, you will design modular, scalable systems for self-learning AI agents, make technical decisions, and develop orchestration frameworks for complex workflows with a focus on LLMs and cloud-based MLOps.

In this role, you will develop innovative AI solutions, implement RAG architectures, integrate LLMs into business processes, and optimize complex workflows using GenAI technologies.

In this role, you will develop LLM-based multi-agent systems to automate complex processes, implement intelligent workflows, and manage context with advanced data architectures.

In this role, you design and implement autonomous AI agents, optimize RAG pipelines, and develop APIs to create intelligent systems that make independent decisions and evolve over time.

In this role, you develop AI solutions in the Systems Engineering domain, plan deliverables, advise clients on AI use cases, and implement automation practices with Java and Python.