LangGraph Jobs in Germany

In this role, you will develop innovative Generative AI solutions, work on tailored projects with LLMs and agents, and implement standards for interoperability and safety in AI systems.

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 develop complex production-grade AI solutions, work on strict engineering standards, and mentor other engineers to significantly enhance quality and efficiency in projects.

In this role, you are responsible for developing and operating AI features, designing architectures, mentoring colleagues, and integrating ML optimizations into production systems.

In this role, you will develop end-to-end solutions for AI-powered products, work with Python, implement data processing pipelines, and build APIs for integration into Java systems.

In this role, you will architect and implement complex production-grade AI solutions for industrial clients, promote engineering excellence, and mentor engineers in a dynamic, cross-disciplinary environment.

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 AI-based software solutions using technologies such as Spring Boot, Docker, and microservices while implementing concepts, development, and testing in agile projects.

In this role, you develop AI-powered systems that enable LLM-based workflows and automate daily tasks through intelligent retrieval systems for all employees.

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 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 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.