Top Artificial Intelligence Jobs in Spain

Design end-to-end user experiences for autonomous AI agents in a B2B healthcare procurement marketplace. Create human-review workflows, trust and transparency UI, decision/override flows, and rapid prototypes. Work embedded with engineers, test with live users, and iterate based on production failures to optimize agent-human collaboration.

Design, build, deploy, and monitor production-grade autonomous agents for procurement workflows. Own end-to-end lifecycle, instrument logging/monitoring, integrate human-in-the-loop checkpoints, and collaborate with commercial and operations teams to translate real workflows into reliable, cost- and latency-aware agentic systems.

Design, develop, and deploy AI-driven engineering solutions and deterministic agents to automate SDLC tasks (code generation, testing, documentation, CI/CD, incident management). Build scalable, secure cloud-native architectures, integrate LLM capabilities into engineering workflows, define technical standards, lead AI-enabled innovation, and collaborate across multidisciplinary teams to improve software delivery and operations.

Lead Lesson Insights product end-to-end: strategy, roadmap, and delivery of AI/LLM-driven feedback across web and mobile. Prioritize actionable feedback, connect per-lesson insights to long-term progress, involve tutors, scale to languages, drive engagement and reach, and perform hands-on data analysis and experimentation to measure impact.

Advise AI-focused customers to design scalable AI solutions and manage large-scale GPU deployments. Deliver technical presentations, documentation, and webinars. Collaborate with engineering and product teams to prioritize and convey customer feedback.

Lead developer engagement across EMEA AI-native ecosystems to drive adoption of NVIDIA technologies. Act as technical advisor, enable partners with sample code and demos, onboard startups, map ecosystem opportunities, and collaborate cross-functionally to influence product roadmaps and scale developer programs.

Remote SDR responsible for outbound prospecting, qualifying leads, booking demos, maintaining CRM records, collaborating with marketing and sales, and meeting monthly KPIs in the AI SaaS space.

Design, build, and optimize AI-driven automation workflows using platforms like Zapier/Make and LLMs. Integrate APIs, develop Python/JavaScript backend logic, maintain automation pipelines for sales/marketing/support, monitor systems, troubleshoot issues, and document scalable SOPs.

Design, develop, and deploy AI/ML models and LLM-powered workflows (chatbots, copilots, automation). Integrate models with APIs and SaaS platforms, fine-tune prompts, work with structured/unstructured data, monitor performance, and collaborate with product and engineering teams to deliver scalable AI solutions.

As an AI Director, lead AI and data programs for Specialty Chemicals, drive account growth, mentor teams, and engage C-level stakeholders strategically.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

As an AI Research Engineer, you will innovate model compression techniques for multimodal AI systems, focusing on quantization, knowledge distillation, and pruning for efficient deployment on edge devices.

As an AI Research Engineer, you will develop multi-modal reinforcement learning systems, focusing on optimization across data modalities, conducting research on algorithms, and building infrastructure for scalable training and evaluation.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

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.

Lead the architectural design of Coupang's real-time streaming and AI platform, ensuring high performance and availability while integrating AI/ML models.

The Senior AI & Computer Vision Software Engineer will work on innovative software solutions, bridge research and production, and mentor others while working in an Agile environment.

Lead operations of large-scale NVIDIA GPU and Kubernetes-based AI infrastructure. Drive incident response, troubleshooting across Linux, networking, storage, and hardware. Improve reliability, observability, automation, and platform readiness; mentor engineers and define operational standards and runbooks.

Build and test AI-agent features and internal agent frameworks for a proactive cybersecurity platform. Implement and integrate generative AI systems (agents and RAG), stay current with AI research, and apply innovations to product development and evaluation within a security-focused environment.

The Senior Product Development AI Engineer will design and develop backend services with AI capabilities, collaborate with teams, and contribute to scalable system architecture.

As the AI Agents Solutions Architect at Kraken, you'll design and build an AI-native finance operating system, automating finance operations and ensuring compliance in a regulated environment.

The Director of Business Development will drive revenue through creating strategies for new business, managing client relationships, and overseeing sales processes while ensuring high service standards.

As an AI Strategist, you'll deploy AI agents for healthcare clients, optimize operations, drive performance improvement, and develop internal frameworks.

Lead rollout, adoption, and optimization of AI tools and the Knowledge Hub. Track adoption metrics, support LLM integrations, run training and enablement, maintain knowledge content, and produce dashboards and reports to measure AI impact.