Top Artificial Intelligence Jobs in Germany

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

The Senior AI Product Manager will lead cross-functional teams to define, develop, and manage B2B SaaS products, focusing on customer value and market needs, while utilizing Agile methodologies and Generative AI technologies.

As a PhD Intern, you'll research and develop methods for adapting LLMs, build multimodal models, explore reinforcement learning, and evaluate user-centric outcomes, collaborating closely with teams to prototype and document findings.

As a PhD Research Intern, you will develop methods for 2D and 3D models, evaluate AI workflows, and collaborate on research projects. You'll produce documentation and potentially publish your findings.

As Head of Product - AI, you will define AI as the core of our platform, lead product managers, and shape the user experience for buyers and sellers.

Train large language models to improve code quality by ranking, repairing, and refactoring code snippets while providing detailed explanations for feedback.

The Software Engineer will train large language models to generate and improve code through ranking and editing. Responsibilities include repairing AI-generated code and providing detailed feedback for model refinement.

The Software Engineer, AI will train large language models by ranking and repairing AI-generated code while providing feedback into the RLHF pipeline.

This role involves training large language models to write code, ranking code snippets, and ensuring AI-generated code is correct and efficient. Strong communication skills are essential for explaining code improvements.

As a Software Engineer, you will train large language models by reviewing code snippets, injecting feedback into the RLHF pipeline, and improving AI-generated code.

Design and implement AI architectures using LLMs, collaborate on solutions, optimize models, and stay updated with advancements in generative AI.

The position involves researching AI's impact on higher education and science, focusing on best practices and early adopters. It includes collaboration, engaging in applied research, and contributing to publications.

The AI Platform Engineer will design and operate shared AI infrastructure, develop LLM-based services, and collaborate across teams to enhance developer productivity and efficiency.

As a Senior Machine Learning Engineer, you will develop and scale customer-facing AI models, ensuring quality integration with business solutions, and mentoring peers.

As an AI Native Marketing Content Specialist, you'll leverage AI to create engaging content, drive community growth, and establish thought leadership.

As a Go-to-Market AI & Data Intern, you will enhance data accessibility, implement AI-driven solutions, and improve workflows while collaborating with various teams.

As a Senior AI Engineer, you'll develop agentic systems, build AI integrations, and design production systems while ensuring compliance in high-stakes environments.

Design and implement scalable machine learning systems, collaborate with product teams, and apply MLOps best practices in production environments.

The AI Solution Strategist will drive AI product strategy, collaborate with teams, design conversational agents, and support customer AI initiatives.

The AI Integration Specialist ensures AI insights are activated within sales teams, driving adoption of AI solutions that enhance commercial processes and revenue. Responsibilities include translating strategies into AI use cases and collaborating with sales leaders on implementing insights effectively.

The Principal AI Scientist will develop customized LLM solutions, enhance existing models, and incorporate new AI techniques. Required to collaborate with teams and optimize performance for generative AI applications.

The AI Engineer will architect and implement AI solutions, develop multi-agent systems for semiconductor applications, and collaborate across teams to ensure effective deployment. Responsibilities also include evaluating emerging technologies relevant to the industry.

As an M365 AI & Automation Specialist, you'll shape and implement the AI & Automation roadmap, create intelligent solutions using M365 tools, and enhance user adoption through training and documentation.

The M365 AI & Automation Specialist develops AI solutions on the M365 platform, integrates systems, and drives user adoption through training and documentation while ensuring security and compliance.