Top Artificial Intelligence Jobs in Germany

The Senior Backend Engineer will architect and maintain backend services, integrating AI-powered support systems while ensuring reliability and performance monitoring. Responsibilities include end-to-end feature ownership and mentoring team members.

As an AI Platform Engineer, you will develop and maintain the internal AI provisioning platform, ensuring seamless model access, observability, and governance for AI applications along with collaborating with AI Software Engineers.

The AI Operations Specialist will lead AI initiatives, optimize operations, manage projects, and drive business strategies to improve efficiency and user acquisition.

As a Creative Gen AI Specialist, you'll build efficient automated workflows, produce high-performance ads, and integrate AI models while collaborating closely with creative teams and data scientists to optimize assets based on real-time performance data.

The AI Platform Engineer will develop and maintain an internal AI provisioning platform, ensuring secure and efficient access to AI models while collaborating with software engineers to support cloud-native architectures and integrations.

The AI & Innovation Senior Engineer will drive AI and digital innovation in engineering workflows, develop prototypes, and implement solutions within operational environments.

The Senior Backend Engineer will develop and integrate AI systems for carbon footprint workflows, focusing on reliability and data quality, while collaborating with CTO and other engineers.

Develop computer vision models for object recognition and video understanding while evaluating and improving their performance for real-world applications.

Architect and build AI systems for automating workflows, integrating AI solutions, evaluating performance, and collaborating with teams to enhance productivity and efficiency.

As a Senior AI Engineer, you will design and maintain data pipelines, curate datasets, ensure data quality, and run experiments to improve model outcomes, particularly for German-language data.

As a Senior AI Researcher, you will enhance reinforcement learning methodologies, conduct large-scale experiments, and collaborate cross-functionally to improve model capabilities.

The role involves developing GenAI services and deploying LLM infrastructure while ensuring security compliance and supporting internal users. It requires technical skills in AI and infrastructures.

Lead two teams focused on machine learning and developing an AI-driven product. Responsible for team building, execution, and communication across departments.

The Product Designer will create a cohesive user experience for happyhotel by collaborating with Product Management and Engineering, developing design artifacts, and iterating based on user feedback.

As a Senior Product Manager, you will drive product strategy and features based on customer feedback and market analysis while ensuring cross-functional collaboration and data-driven decision making throughout the product lifecycle.

The Senior Data Scientist drives AI platform development, establishes standards, partners with engineering teams, mentors, and ensures responsible AI adoption across Awin.

As a Senior Data Scientist, you'll build core AI capabilities, automate tax operations, implement AI architecture, and mentor junior staff.

Translate legal expertise into AI-powered workflows and Libra Assistants by partnering with Product, Engineering, Sales, and clients to design, implement, and optimize solutions. Support pilots, enable customers, create training content, and provide product feedback to improve accuracy and adoption.

As Solutions Architect in Applied AI, you'll guide enterprises in adopting and deploying Claude, combining technical expertise with customer engagement to ensure successful implementation.

Develop AI-based solutions to improve system architecture and product offerings, collaborating with cross-functional teams on software and system engineering topics.

An AI Engineer will design and implement RAG pipelines, curate datasets, evaluate LLM applications, and deploy AI applications with a focus on maintainability and customer quality standards.

Lead the development of robot policies and task planning. Collaborate with cross-functional teams to create real-world robotics solutions, incorporating AI technologies and MLOps practices.

The Founding Engineer will own the end-to-end intelligence pipeline, build AI workflows, manage data architecture, and solve technical challenges in a startup environment focused on pharma solutions.

Join Cellbyte as an AI Engineer to build AI and data systems, solve complex problems, and turn pharma workflows into AI-native systems.

The Senior Machine Learning Engineer will design evaluation frameworks, diagnose model performance, develop ML systems, and mentor junior engineers while collaborating across teams.