Top Artificial Intelligence Jobs in Germany

Join AutoScout24 as a Software Engineer / AI Enabler to build impactful AI-driven products, coach teams on effective AI usage, and improve software delivery processes.

The Backend Engineer will design, develop, and maintain backend services with AI/ML capabilities, focusing on scalability, performance, and optimization of APIs and distributed systems.

The Senior Infrastructure Engineer will design and maintain AWS infrastructure for AI/ML workloads, focusing on deployment, security, and collaboration with ML teams.

As a Junior AI Engineer, you'll develop AI systems, evaluate tools, and support projects in a fast-paced agile environment focused on healthcare fintech.

Lead the development of large language models for marketing technologies, optimize AI solutions, and mentor junior team members to drive innovation and quality.

Lead architecture and execution for data platforms and LLM products, focusing on scalable solutions and team collaboration to drive outcomes.

The Senior AI Engineer will design and scale a Phone Assistant product, improving healthcare interactions using AI and NLP. Responsibilities include building LLM systems, validating hypotheses, enhancing evaluation pipelines, and ensuring performance and security for user experiences.

The ML/AI Engineer will benchmark GPU platforms for AI workloads, analyze GPU performance, optimize ML workloads, and develop performance visualization tools.

As the first People hire, manage full-cycle recruiting, build HR systems, handle operations, and advise founders on hiring strategies.

As a Senior AI/ML Engineer at SumUp, you will develop and deploy AI-driven solutions, manage ML infrastructure, and collaborate across teams to enhance customer experience and automate support services.

As a Marketing AI & Automation Manager, design and implement AI-driven automation use cases, optimize marketing systems, and collaborate across teams to enhance customer journeys.

As an AI Product Manager, you will define and deliver AI solutions, collaborate with engineers, and manage project requirements effectively.

The AI Excellence Manager will integrate AI solutions in Marketing & Sales, automate processes, build low-code solutions, and drive delivery alignment.

As the Senior Product Manager for Voice AI, you will define product strategy, manage vendors, optimize performance, and lead delivery of Voice AI solutions.

The Senior Product Manager for Voice AI will manage the entire product strategy for Voice AI solutions, optimizing call center experiences and interacting with engineering and vendors for improvements.

Join AutoScout24 as a Software Engineer to enhance their technology stack, optimize systems, and integrate GenAI tools into applications, driving efficiency and quality.

Lead AI and data initiatives, building client relationships while ensuring project delivery. Oversee teams and contribute to thought leadership.

The Senior Product Manager will own the strategic roadmap, lead market research, manage monetization strategies, and mentor product managers within an AI and EdTech environment.

The AI Deployment Manager drives technical enablement and adoption of OpenAI products, leading workshops and trainings to maximize customer value and product usage.

Design and implement agentic tools, translating product needs to production, scale prototypes, improve semantic search, build evaluation pipelines.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

The AI Engineer will design and develop AI features for an educational platform, driving technical decisions and collaborating cross-functionally to enhance student learning experiences.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

The Principal Fullstack Engineer will lead technical direction, improve learner experiences, and mentor senior engineers while overseeing customer-facing systems.

Design and develop Generative AI applications, building scalable full-stack solutions, managing various libraries, and collaborating across teams to enhance AI user experiences.