Top Artificial Intelligence Jobs in Amsterdam

The AI Developer will create LLM applications by designing end-to-end solutions, integrating AI models, and collaborating with teams to solve business challenges.

The AI Marketing Specialist will develop and optimize AI-driven marketing workflows, enhance email operations, and integrate AI tools to improve marketing efficiency and engagement.

The Data Analyst will create dashboards, analyze billing data, and derive insights for product development and costs related to AI platforms.

The Senior Machine Learning Engineer will design evaluation frameworks, diagnose model performance, develop ML systems, and mentor junior engineers while collaborating across teams.

As Tech Lead, you will manage a team, optimize AI models, and lead work on moderation systems for a high-scale conversational AI platform.

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.

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 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 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.

The Customer Engineer will provide technical guidance and support to sales efforts, conducting demonstrations and tailoring solutions for clients, while collaborating with cross-functional teams to drive success.