Top Artificial Intelligence Jobs in Spain

The Product Manager leads the development of AI-centric software products by coordinating between users and engineering teams, managing the product backlog, defining KPIs, and ensuring technical feasibility of features, all while enhancing user and developer experience.

The Product Line Manager will lead the vision and strategy for Data and AI platforms, oversee product lifecycle management, and drive adoption across technical teams, ensuring products meet user needs and deliver measurable business outcomes.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.

The role involves developing AI automation modules, integrating APIs, and deploying AI agents for marketing, operations, and patient engagement.

The Product Owner will lead the AI agent ecosystem's design and delivery, focusing on scalable operations, governance, and strategic product vision aligning with enterprise priorities.

As an AI Automation Tech Lead, you'll focus on automation engineering, build reusable components, and improve workflows with cloud technologies like Azure.

Lead integration of LLMs and generative AI into production applications, implement RAG and prompt-engineering solutions, build CI/CD pipelines, collaborate with cross-functional teams, mentor engineers, and drive AI automation and platform improvements.

Create and refine AI-generated art using Stable Diffusion pipelines: train and fine-tune models, prepare datasets, produce and polish assets, develop concepts and prompts, collaborate with cross-functional teams, and mentor peers.

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

Join the art team to create AI-generated motion and video assets for a casual mobile game. Develop prompts, operate AI video generation tools, edit footage in DaVinci Resolve or Premiere Pro, apply motion-graphics and After Effects basics, and craft strong visual storytelling and shot dynamics.

Consult, enable, and drive GTM execution for Red Hat AI across Spain/EMEA. Educate customers, support sales in competitive deals, liaise with product and engineering, build partner/channel relationships, and provide feedback to improve AI offerings while mentoring sales teams.

Own outbound and inbound pipeline for AI cloud users, manage outreach automations, re-engage sign-ups, coordinate discovery and partner calls, maintain CRM hygiene, attend events, and design GTM experiments with founders and CRO.

Lead the development and launch of AI-powered shopping products, defining vision, collaborating with teams, and analyzing performance to enhance user experiences.

Design, build, and operate low-latency multi-agent LLM systems. Ensure high-quality real-time communication and optimize prompt programming and retrieval processes.

The role requires a Senior Full-Stack Software Engineer skilled in TypeScript and React, adapting to dynamic environments and collaborating cross-functionally in AI-powered projects.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.

The role involves leading system design, ensuring technical excellence, mentoring team members, and collaborating with multiple teams to drive impactful AI solutions.

Provide hands-on deployment, debugging, benchmarking, and optimization of large-scale AI training and inference workloads on NVIDIA GPU clusters. Work with customers and internal teams to identify bottlenecks, improve efficiency, and scale workloads reliably while contributing to resilience features for sovereign AI initiatives across Europe.

As a Full-stack Software Engineer at Alan, you will build developer tools, internal platforms, and AI-native infrastructure to enhance workflows for engineers and non-engineers.

Develop and enhance the Ops AI Platform, focusing on building AI agents for operational tasks, integrating them with internal tools, and ensuring user autonomy in operations. Mentor engineers and influence system architecture.

You will develop AI systems for customer support, enhance member interactions, and scale operations from 1M to 10M users while mentoring engineers and influencing system architecture.

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 AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.