Top Artificial Intelligence Jobs in Spain

Participate in a 14-day remote pilot using a qualifying Google Pixel device to interact naturally with notification-generating apps, perform daily notification-sorting tasks, submit short daily feedback, and report issues to improve mobile AI notification-management systems.

Recruit Galician C2 speakers to perform voice-mode conversations with AI chatbots, pursue predefined goals, then rate and document the interactions following provided guidelines. Work is remote, project-based, uses participants' own smartphone and laptop, and requires written evaluations in English.

Post-sales technical lead for strategic EMEA accounts, advising on cloud-native and AI deployments. Own technical relationships, troubleshoot escalations, design architectures for LLM/agentic workloads, drive product adoption, deliver training, and feed customer insights to Product and Engineering.

Partner with Account Executives to present Arize's GenAI observability platform, lead technical demos and discovery, design and run PoCs, advise on GenAI/LLM best practices, handle technical objections, and build relationships with technical and business stakeholders across prospective customers.

Build end-to-end AI-native product features across frontend, backend, and LLM integrations. Design and deploy agent workflows, streaming real-time interactions, memory, and tool integrations. Improve reliability, observability, fallbacks, and reduce latency while collaborating with ML and product teams to ship production-grade, multi-step workflow capabilities.

Build and ship end-to-end AI features: design prompts, tools, memory, and agent workflows; turn model outputs into reliable behavior; debug across model, orchestration, infra, and UX; optimize latency, cost, and reliability; develop evaluation frameworks and collaborate with product and engineering to deliver robust ML-powered features.

As an Onboarding Executive, you will facilitate the onboarding process for new clients, ensuring smooth implementation and effective communication while building AI assistants tailored to client needs.

Assist clients with AI-related technical issues, providing support, troubleshooting, and collaborating with internal teams to ensure customer satisfaction.

The AI Developer will design, implement, and deploy AI agents and workflows, integrating advanced models and ensuring reliable performance in production environments.

Lead transformation of business processes with AI-driven workflows, oversee automation lifecycle, integrate systems, and build data insights.

The AI GTM Engineer will design and govern AI agent infrastructure for marketing, building automated workflows and ensuring compliance with brand voice and data security standards.

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.

The Senior ML/AI Engineer will collaborate with data scientists to implement optimized ML workflows, develop tools for prompt management, and monitor system performance while managing data pipelines and integrating AI APIs.

As a Senior AI Scientist, you will develop AI algorithms, collaborate with teams, and communicate findings, impacting banking through innovative AI solutions.

Fine-tune, deploy, and maintain multi-modal vision-language and transformer models for production. Build end-to-end training and inference pipelines in Python, implement prompt engineering and RAG, evaluate and iterate model performance, and optimize models (quantization) for efficient, scalable deployment across real-world environments.

Develop and optimize large neural-network tabular models in Python. Profile training and inference pipelines, improve memory efficiency, latency, and throughput. Implement performance-critical components in Rust (and optionally C++), ensure numerical stability and reproducibility, collaborate with researchers to productionize capabilities, and maintain tests and documentation.

As a Finance AI Application Specialist, you'll manage and optimize financial systems, implement AI solutions, collaborate with finance teams, and provide support.

Lead design, build, and production deployment of AI solutions across Arxada's Microsoft ecosystem. Own architecture for Azure AI, Microsoft Fabric, M365 Copilot, and Power Platform; integrate OT edge-to-cloud pipelines; embed security, identity, and responsible AI controls; manage MLOps and lifecycle; and mentor engineers and data scientists to deliver scalable enterprise AI solutions.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

Create short- and long-form AI-generated educational and entertainment content for Instagram, TikTok, and YouTube. Rapidly test content hypotheses, analyze performance, research trends and competitors, and iterate on hooks, storytelling, and editing. Collaborate with the product team and continually experiment with AI image/video generation and editing tools.

The Senior AI Architect will lead AI architecture design to enhance efficiency and transformation, serving as a technical authority to scale AI adoption effectively across teams.

Design, build and deploy AI-powered solutions (custom copilots, conversational agents, embedded AI) using Microsoft Copilot Studio, Power Automate and Azure AI Foundry. Integrate with Snowflake and enterprise systems, collaborate with stakeholders to define use cases, operationalise models, maintain reliability and governance, and evaluate emerging AI tools.

The role involves building robust backend systems for seQura's Smart Agent platform, integrating AI capabilities, and collaborating cross-functionally to enhance the shopper experience.

Lead design, prototyping, and production deployment of AI-driven productivity tools across finance, HR, operations, sales, and marketing. Embed with business teams, build scalable LLM/agentic AI solutions, create reusable platforms, ensure reliability, governance, and cross-regional adoption, and mentor engineering teams.

The Senior Software Engineer will develop backend services for Workbot, engage in research, contribute through the development lifecycle, and enhance existing systems.