LlamaIndex Jobs in Germany

In this role, you will develop tailored (Gen)AI solutions, transition between conception and implementation, identify relevant use cases, and integrate AI services into existing systems.

In this role, you will take end-to-end responsibility for the design and implementation of AI solutions, develop prototypes, and implement LLMOps and MLOps practices for national and international projects.

In this role, you design AI-powered products from concept development through prototyping to rollout, integrating AI functions into existing systems while ensuring security and quality standards.

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 LLM-based AI features to enhance our controlling software, design assistance functions, and supervise master's theses while working closely with the team.

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 scalable Python backend services for AI and LLM applications, integrate data sources, implement web applications, and optimize systems in cloud environments.

In this role, you develop modular agent systems with explainable architectures, ensure reproducible results, and collaborate at the tech-customer interface while driving innovations.

In this role, you are responsible for building and developing the Data & AI Chapter, making architectural decisions, and designing targeted AI solutions for demanding projects.

In this role, you develop complex software solutions with a clear focus on AI integration, collaborate closely with stakeholders, perform testing, and support teams with technical challenges in an international environment.

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 will research and develop cutting-edge LLMs, design agent workflows, and analyze complex datasets to create tailored search solutions and enhance customer retention.

You will develop and integrate LLMs and machine learning services into our cloud platform. Your tasks include building MLOps pipelines, API microservices, and ensuring performance and scalability of AI functionalities.