Top Artificial Intelligence Jobs in Berlin

As a Senior AI Engineer at Docker, you'll enhance the Ask Gordon AI assistant, improve RAG systems, and develop evaluation frameworks while collaborating with teams to optimize AI capabilities for developers.

As an AI Research Engineer, you'll design and implement systems coordinating large language models with real-world tasks, creating novel prompting strategies and production-ready systems in TypeScript while collaborating with various teams.

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.

The Head of AI will lead applied-AI projects, design large-scale systems, prototype workflows, and manage a team of AI engineers, ensuring integration with cybersecurity processes.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

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.

As a Senior Software Engineer at Nebius, you'll design and develop a large-scale LLM training platform, maintain ML infrastructure, and improve job scheduling strategies.

As a Product Manager for AI initiatives, you will define user problems and drive the execution of AI-driven customer interactions, managing the product lifecycle from concept to launch, while ensuring alignment with cross-functional teams and tracking performance metrics.