Top Artificial Intelligence Jobs in Barcelona

Lead AI initiatives for Data Intelligence product, managing the product lifecycle and collaborating across teams to deliver AI solutions.

The Amadeus GDS Specialist will leverage GDS expertise to design AI tools, validate outputs, and ensure product accuracy in travel solutions.

Lead the operational strategy for the AI Platform, translating technical requirements between engineering and stakeholders, prioritizing features, and ensuring AI outputs meet professional standards.

The Senior AI Engineer will design and develop production-grade AI services and APIs, drive the development lifecycle, mentor team members, and resolve technical challenges.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

The role combines designing AI/ML architectures and hands-on engineering on AWS. Responsibilities include client requirements gathering, cloud architecture design, and implementing CI/CD for AI workloads.

Join Leadtech as a Senior AI Full Stack Developer to build and scale an innovative platform utilizing AI agents. You'll develop features across a modern tech stack, manage user authentication, and integrate with various APIs.

The AI Training Specialist will design and deliver training programs to help employees adopt AI tools, adapting sessions for various audiences, and creating engaging learning experiences.

As an MLOps Engineer, you will architect and build scalable infrastructure for AI models, ensuring reliability and automation throughout the entire lifecycle of production AI systems.

Lead the development of LLM-powered solutions, ensuring scalability and security. Oversee AI system integration and collaboration with various teams.

The AI Senior Product Manager at dLocal will define the product vision for AI tools, collaborate with engineering teams, and measure product success to drive AI adoption across the company.

The role involves building AI-driven products, designing intelligent workflows, and developing data pipelines for efficient AI integration and automation.

The Expert Engagement Manager will lead client collaborations, ensure delivery of AI solutions, manage client relationships, and drive value creation.

Leading the AI platform strategy by driving developer experience, security, and governance while collaborating with ML engineers and data scientists to enhance AI capabilities.

The Associate Director, AIO will build and scale Darkroom's AI search and organic search practice, focusing on ecommerce growth strategies and technical SEO to drive organic outcomes for clients. Responsibilities include defining methodology, leading audits, collaborating with technical teams, and managing AI-native research and content deployment.

You will lead AI/ML projects, develop end-to-end solutions, mentor peers, and drive sales strategies while collaborating with multidisciplinary teams.

The Lead Software Engineer will design and develop AI-driven software, focusing on backend systems with Python and cloud technologies, while collaborating with cross-functional teams and guiding other engineers.

Lead the design, development, and maintenance of reliable backend services, including AI-driven applications. Collaborate with various teams to ensure quality solutions and contribute to architectural decisions.

The Senior Product Manager will lead AI-driven initiatives, manage product roadmaps, and drive innovation in digital asset management, focusing on customer needs and market differentiation.

The Senior Infrastructure Engineer will deploy, scale, and maintain services for the ML/AI team, collaborating closely with ML Engineers and Data Scientists.

Design and deliver end-to-end ML/LLM solutions, build AI agents, and collaborate closely with teams to implement scalable models and workflows.

Lead the development of AI-driven products, manage cross-functional teams, define product roadmaps, and ensure user-centered design while exploring innovative AI solutions.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.