Top Artificial Intelligence Jobs in Spain

The Senior AI Search Optimization Specialist will develop and implement strategies for AI search visibility, collaborate with various teams, oversee workflows, and report on performance metrics.

As Lead AI Engineer, spearhead AI solutions development, maintaining RAG pipelines, automation frameworks, and ensuring robust AI integrations across the organization.

The Product Manager will coordinate AI projects, manage stakeholder requests, define data governance policies, and drive product development and budget control.

As an ML Engineer, you will develop ML models, collaborate with teams, maintain model performance, and drive innovation in ML technologies.

Design and implement full-stack applications and AI agents. Collaborate on customer-focused solutions, lead projects, and mentor engineers in a cloud-native environment.

Join as the first Product Designer to shape the Agentic AI Platform, focusing on user experience, compliance, and iterative design while leading cross-functional collaborations.

This role involves designing AI-enabled solutions, leading AI/ML architecture, mentoring teams, and ensuring regulatory compliance in AI operationalization.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

The AI Engineer will design, develop, and deploy AI initiatives, mentor team members, and align AI strategies with business goals.

Lead AI transformation projects, define strategies, facilitate workshops, and design upskilling programs for organizations to adopt AI effectively.

As an AI Principal Engineer, you will architect large-scale AI systems, mentor engineering teams, and guide AI integration into products. Your role involves turning research into scalable, maintainable systems while influencing engineering strategies.

As a Senior Engineer - AI Product Innovation, you'll build AI features, collaborate with teams, and experiment with APIs and frameworks, focusing on user interaction and workflow improvement.

As an ML Engineer at Provectus, you'll create and improve ML models, collaborate on production efforts, develop experimentation roadmaps, and maintain model performance.

The role involves managing and structuring internal knowledge systems, collaborating with AI teams, and optimizing documentation for machine learning and AI functionalities.

The Software Engineer will build and maintain backend services, develop data pipelines, and automate business processes to enhance data workflows and machine learning models.

Provide technical support for AI inference issues, troubleshoot deployment problems, analyze logs/metrics, and enhance platform usability by collaborating with engineering.

As an ML Engineer, create and improve ML models, collaborate with teams, maintain experimentation pipelines, and stay updated with ML advancements.

The Director of Operations/Strategy will lead strategic planning, facilitate cross-functional coordination, and represent the cofounder in various executive initiatives.