Top Artificial Intelligence Jobs in Spain

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

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.

The Director Analyst evaluates AI networking technologies, predicts market trends, communicates insights to clients, and collaborates to enhance account success.

The Senior AI Engineer will enhance developer workflows by implementing AI-driven tools throughout the software development lifecycle (SDLC), focusing on context engineering and LLM integration.

The Senior AI Engineer will lead AI adoption, define production patterns, and ensure scalable AI integration into engineering workflows across platforms.

The Senior AI Engineer will design, build, and operate production-grade AI applications, focusing on backend services and APIs using Python, particularly in integrating large language models into workflows while ensuring safety and reliability.

The Senior AI Engineer will design and operate AI applications within Agentic Commerce, develop backend services, and integrate LLMs into workflows, focusing on reliability and safety.

Design and develop automation workflows using Power Automate and Power Apps, integrate APIs, build chatbots, and ensure SDLC best practices.

Lead the vision and execution for AI analytics in JetBrains Console, focusing on customer adoption, usage, cost, and decision-making.

Lead and deliver Generative AI-powered solutions for clients, manage teams, and leverage advanced AI technologies to drive business value.

The Senior Solution Manager leads product strategy for AI solutions, oversees data migration initiatives, and collaborates with teams on AI architecture and product delivery.

As an AI Product Manager, you'll shape the AI product roadmap, collaborate with cross-functional teams, and ensure AI technologies meet user needs and business objectives.

As an AI/ML Engineer, you will develop and optimize machine learning models for mobile applications, collaborate with teams to enhance user experiences, and implement AI techniques to improve app performance.

The Research Scientist will apply machine learning and generative AI to solve business problems, design experiments, and evaluate solutions with stakeholders in a collaborative environment.

The Research Scientist will utilize expertise in Generative AI and Machine Learning to solve business problems, design experiments, and evaluate AI-based solutions while collaborating with cross-functional teams.

The Research Scientist will leverage Generative AI and ML to solve business problems, design experiments, and recommend scalable solutions, collaborating with stakeholders.

As the AI Tech Lead, you'll drive Fever's AI transformation by leading teams to build scalable AI initiatives, enhancing business operations through innovative solutions and stakeholder management.

The role involves owning creative execution for digital marketing campaigns, designing video and static assets, leveraging AI for production, and mentoring junior designers.

Design and implement agentic tools, translating product needs to production, scale prototypes, improve semantic search, build evaluation pipelines.

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

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

The role involves ensuring data quality and audit traceability, with responsibilities including writing SQL queries, building data validation pipelines, and supporting AI tool development in a regulated financial environment.

As a Staff Data Analyst - AI Tooling, lead the assessment and implementation of BI tools, enhance data accessibility, and drive analytics efficiency across teams.

Join the AI Engineering team to design, build, deploy, and scale production AI systems. Translate business problems into AI solutions, industrialize ML models, design AI pipelines and platforms, ensure performance and monitoring, and drive MLOps best practices across architecture and governance.

The Senior Product Manager will lead the strategic roadmap, conduct market research, manage monetization strategies, and mentor a team while collaborating across various departments.