Top Artificial Intelligence Jobs in Germany

As a Machine Learning Engineer, you'll develop solutions analyzing surgical videos, contribute to software components for medical use, and improve surgery outcomes.

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.

The AI Automation Engineer engages with customers to understand their needs, leads technical sessions, designs applications on Five9, and manages requirements for cloud implementation.

As an AI Operations Intern, you will support onboarding, manage customer journeys, enhance internal processes, and collaborate with teams to improve AI products.

The Principal AI Scientist will architect and implement advanced Generative AI models, train and optimize LLM systems, and collaborate across teams to enhance performance in AI applications.

Design and implement architectures with generative AI models, optimize LLM performance, research advancements in AI, and collaborate with teams to develop solutions.

As an AI Research Engineer at Helsing, you'll architect and enhance deep learning frameworks, optimize infrastructure for distributed training, and develop strategies for large datasets while collaborating with a cross-functional team.

As a Partner Solutions Architect, you will build and maintain technical relationships with partners, support solution development, and enable AI practices to drive revenue.

You will build and maintain backend services in Java using Spring Boot, design AI tools, and ensure system performance while collaborating with teams to integrate AI technologies.

As an AI Engineer, you will develop personalized learning experiences leveraging large language models, drive technical product decisions, and ship features to improve education outcomes globally.

The intern will design automations for lead management, conduct market research, support event planning, and assist expansion strategies in a fintech environment.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

As a Solutions Architect, you'll lead customer engagements, design GenAI solutions, and ensure successful deployment while collaborating with internal teams.

As a DevTooling Engineer, you'll enhance developer tools for the Polkadot ecosystem, prototype Web3 apps, and support internal/external developers.

The Staff Product Engineer will build AI-powered products, collaborate with ML scientists, and ensure successful production deployment. Responsibilities include software development, mentorship, and enhancing technical standards.

As a Senior Product Engineer in the AI Group, you will build systems for AI products, collaborate with ML scientists, and contribute to software development phases, while mentoring others and ensuring high technical standards.

As a Consulting Intern, you will work with the AI & Data team to perform advanced analytics, develop predictive models, and assist in client communications for strategic consulting projects.

Lead the core biometric recognition technology team, managing the full lifecycle of ML systems focused on iris and face recognition while ensuring privacy and reliability at scale.

The Expert AI Director will lead AI programs, manage relationships with stakeholders, ensure project alignment with business goals, and mentor teams.

The AI Support & Knowledge Manager will optimize AI performance, manage support content, design conversation flows, create automations, and oversee AI support KPIs.