Top Artificial Intelligence Jobs in Spain

Develop and deploy AI features for a SaaS product, architect scalable backends, optimize vector databases, and manage Azure AI infrastructure.

The Principal Product Manager will define the vision and strategy for the Elastic Agent Builder, guiding product execution in AI agents using advanced technologies. Responsibilities include collaborating with customers, managing product roadmaps, and leading teams to enhance AI capabilities and user experiences.

Join the Jimdo AI team to architect and build the Companion system, integrating AI to assist microbusiness owners in various business tasks and workflows while ensuring system intelligence improvements and architectural scalability.

Lead the Data Science and AI teams for recommendation systems and marketing technology, optimizing user acquisition through machine learning initiatives and causal inference.

Lead the design and deployment of advanced machine learning and AI solutions in a regulated financial environment, driving innovation and compliance.

The AI Designer will create NPCs and gameplay mechanics, collaborate on design specs, analyze AI performance, and present new ideas within a remote multiplayer game team.

As a Staff/Senior AI Engineer, you will develop production-ready coding agents and improve AI model capabilities for JetBrains' software development tools. Collaborating with teams, you'll focus on model training, evaluation, and product integration to enhance user experience.

The Product Manager - AI will define AI product direction, collaborate with engineering, and solve complex user problems in payroll and compliance workflows.

The Senior Research Scientist will focus on researching scalable AI/ML solutions, especially in Small Language Models and GenAI, applying ML techniques to real-world projects. Responsibilities include designing experiments, contributing to model evaluations, and bridging research with practical implementations.

The role involves researching agentic AI capabilities and Small Language Models, emphasizing modeling strategy, validation methods, and transitioning concepts to practical applications. Responsibilities include designing experiments, engaging stakeholders, and contributing to applied ML/AI research directions.

The role involves developing sophisticated LLM-powered autonomous agents, integrating intelligent services, and ensuring systems' scalability and reliability. Responsibilities include architecting AI modules, leading agile sprints, and monitoring production lifecycle with CI/CD roles.

Lead technical initiatives for Generative AI in logistics, design architecture, implement evaluation pipelines, and mentor engineers.

The AI Senior Designer will create and manage high-impact digital marketing campaigns, leveraging AI tools for asset production, and mentoring junior designers.

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 role involves designing and implementing data models and predictive models in HR using AI, while analyzing large datasets and automating processes.

Train large language models to improve code quality by ranking, repairing, and refactoring code snippets while providing detailed explanations for feedback.

The Software Engineer will train large language models to generate and improve code through ranking and editing. Responsibilities include repairing AI-generated code and providing detailed feedback for model refinement.

The Software Engineer, AI will train large language models by ranking and repairing AI-generated code while providing feedback into the RLHF pipeline.

This role involves training large language models to write code, ranking code snippets, and ensuring AI-generated code is correct and efficient. Strong communication skills are essential for explaining code improvements.

As a Software Engineer, you will train large language models by reviewing code snippets, injecting feedback into the RLHF pipeline, and improving AI-generated code.

As a Full-Stack Developer, you will build and scale AI products using Next.js and NestJS, manage backend services, integrate APIs, and collaborate with teams to deliver features efficiently.

As a Senior Machine Learning Engineer, you will develop and scale customer-facing AI models, ensuring quality integration with business solutions, and mentoring peers.

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.