Top Artificial Intelligence Jobs in the Netherlands

Welo Data is seeking contributors fluent in Dutch for language data projects including annotation, evaluation, and prompt creation, with flexible remote work.

As a Staff Backend Engineer, you'll build Python web services, lead technical projects, and mentor engineers while driving AI integration and system performance optimization.

As a Senior Solutions Consultant, act as a trusted advisor to financial institutions, managing RFPs, delivering demos, and translating business needs into solutions.

Develop and maintain scalable backend services for generative AI applications, focusing on Python and AWS integration, while collaborating with teams.

The AI Backend Python Engineer will design and develop backend systems for generative AI applications, overseeing API delivery and AWS infrastructure while mentoring junior engineers.

The AI Backend Python Engineer will lead the architecture for AI backend systems, focusing on integration, design, and mentoring engineers while ensuring performance and scalability across platforms.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

As a Fullstack Engineer, you will build AI-assisted developer tools in GitLab Duo, working with TypeScript and Kotlin across various platforms, collaborating closely with engineering teams.

As a Legal Engineer, you will design AI-driven legal workflows, collaborate with clients and teams, and enhance product performance in a legal tech environment.

As a Full Stack Engineer, you will develop product features from backend APIs to frontend interfaces while collaborating with product and design teams to enhance user experiences.

Drive sales growth and expand Libra's AI platform in legal sectors through full sales cycle management, relationship building, and strategic account planning.

The Analyst will provide insights to CFO clients on finance technology strategies, cloud ERP transformations, and vendor evaluations. They will publish research, advise clients, and deliver high-quality presentations, requiring extensive experience in finance and technology.

The Director Analyst will create valuable research for clients in cybersecurity, analyze market trends, and support sales efforts with insights and presentations.

Applied AI Engineers will define and deliver AI systems for clients, shape AI visions, build products, and advance the core product using real-world data.

The Corporate Finance AI Expert advises finance leaders on AI strategies, governance, and implementation while producing insights on finance processes and AI technologies.

Support quality management initiatives, gain hands-on experience in GxP compliance, utilize data-driven tools, and collaborate with teams to enhance operational excellence.

Seeking a Senior AI Full-Stack Software Engineer to develop AI-powered features and lead projects from concept to launch, focusing on quality through test automation.

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

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 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.

Assist in creating visual designs and supporting the Creative AI team through internships. Responsibilities include design tasks, collaboration, and learning opportunities.