Top Artificial Intelligence Jobs in the Netherlands

The Senior E2E AI Engineer develops and deploys AI workflows, builds robust APIs, manages scalable data pipelines, and implements AIOps and security for AI agents.

Design, build, and scale production-ready, async Python backend services for conversational AI. Integrate LLM providers, design APIs, ensure observability and testing, own features end-to-end, and collaborate cross-functionally to drive measurable product impact.

Design, build, and deploy production AI agents in Python, integrate with enterprise systems, evaluate and maintain agent performance, and collaborate cross-functionally while producing well-tested, documented code and CI/CD pipelines.

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

The Principal Data Product Manager for ML/AI is responsible for product strategy, roadmap management, and cross-functional collaboration to deliver data-driven AI solutions that align with business objectives.

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

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

As a Research Engineer, you will develop evaluation tools for AI coding agents, analyze failures, and improve Kotlin code generation techniques. You'll also build public benchmarks for agent performance and maintain evaluation infrastructure.

As Product Manager for the AI Content group, you will lead content ingestion and structuring to support downstream AI applications, ensuring high-quality content for search and recommendation systems.

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 Senior Product Engineer AI, you'll design and build AI-enhanced features for debugging and testing, work full stack, and engage with users for feedback.

The Senior Full Stack Engineer will develop the GenAI platform, design full-stack applications, ensure secure coding practices, and collaborate with teams to enhance AI agents in pivotal industries.

The Applied AI Engineer will support customer adoption of AI products, integrate AI models into applications, and improve product capabilities based on feedback.

The Expert Partner will lead client engagements in Data & Analytics, advising on strategic initiatives, building teams, and managing client relationships to drive business success and financial objectives.

The Pedagogical AI Expert will strengthen AI product development at Sanoma Learning, shaping pedagogical strategy and translating it into product requirements, focusing on learning outcomes and risk mitigation, while collaborating across teams.

As a Senior AI Engineer, develop and improve AI-driven product features using APIs, optimize backend systems, and collaborate on intricate workflows for legal AI applications.

As a Lead AI Engineer, you will lead AI projects, manage teams, and act as a strategic advisor to clients in a consultancy context.

As an AI Engineer, you'll design AI tools for authors, enhance internal workflows, and build tools for AI development, collaborating with teams to identify AI opportunities.

The role involves leading Data & AI offerings in Europe by shaping the go-to-market strategy, enabling local sales teams, and analyzing market demands.

Interns will research and evaluate existing AI tools to improve knowledge sharing and configuration processes. This will include user testing and demos.

As an AI Curriculum Development Specialist, you will create engaging learning content and develop curricula using AI, enhancing the efficiency and interactivity of training.

The AI/ML Engineer will design and operationalize an AI Platform using Azure, focusing on automation and improving data security while collaborating with various teams to ensure compliance and efficiency.

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.

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.