Top Artificial Intelligence Jobs in Spain

The AI-Native Engineer will design intelligent systems for an AI-native ecosystem, streamline workflows, and collaborate on innovative solutions in software engineering.

The Tech Lead will manage and enhance the architecture, training, and deployment of AI models, ensuring high standards of moderation and context management while driving substantial user impact.

WunderGraph seeks a Staff FullStack AI Engineer to lead architecture for AI-driven projects, mentoring engineers and ensuring scalable, secure systems. Responsibilities include backend and frontend development with a focus on AI workflows and enterprise readiness.

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

Collaborate with teams to build data pipelines and optimize AI solutions, support data science needs, and develop tools for research processes.

Lead multi-stream client programs as the primary contact, ensuring outstanding delivery and strategic alignment with business goals. Manage Engagement Managers, drive account growth, and build strong relationships with senior stakeholders.

The Machine Learning Engineer will architect and develop an AI platform for scientific workflows, integrating autonomous agents, and collaborating with cross-functional teams on ML/AI systems.

Lead AI initiatives at Togetherwork by driving cross-functional pilots, building internal AI capabilities, and managing AI governance, while ensuring measurable ROI and impact.

Drive revenue growth and expand Kaltura's presence in AI solutions for designated verticals. Manage sales cycles, develop GTM strategies, and collaborate across teams to enhance market penetration.

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

Lead a team of researchers to develop advanced AI systems, focusing on multimodal models and engaging user experiences. Responsibilities include mentoring, driving research direction, and collaborating with engineering to deploy innovative features.

Seeking a Full-Stack Software Engineer to build the core of an Agentic AI Platform. Responsibilities include frontend and backend development, product design collaboration, and infrastructure management with a focus on clean, maintainable code.

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 role involves designing and implementing AI automation workflows, managing data integration across GTM systems, collaborating with stakeholders, and innovating solutions for operational efficiency.

The Senior AI Engineer will develop and enhance AI-powered payment solutions, collaborate with teams, and integrate new AI technologies.

The AI Consultant will lead data analyses, assist in training AI models, identify ETL bottlenecks, and develop AI-driven solutions for pharma manufacturing.

As an Automation and AI Engineer, you will develop and optimize Unity and backend services for automation and AI in gaming, collaborating with teams to enhance player experiences and development processes.

The AI Platform Engineer will build and productize AI capabilities, design multi-tenant platforms, enable governance, and integrate protocols for scalable services.

The role involves architecting and designing scalable AI systems for payment processing, collaborating with cross-functional teams, and integrating innovative AI technologies.

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.

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.

Design and implement backend services integrating LLM APIs and RAG architectures, collaborating with teams to build AI-driven features and ensure reliability.

As an AI Automation Engineer, you'll analyze operations, identify automation opportunities using AI, and deliver scalable solutions integrated into company workflows.

The AI Engineer will design AI solutions, develop prototypes, enhance user experience, and improve operational efficiency using advanced AI and ML techniques.

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.