Top Artificial Intelligence Jobs in Spain

The AI Product Owner connects engineering teams and stakeholders, translating business needs into product requirements while ensuring delivery and operational viability of AI solutions.

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

Lead development and evaluation of speech language models and automated scoring systems for learner and hiring applications. Build, fine-tune, and monitor acoustic, ASR, speech-to-speech, and LLM-based models; design experiments and validity analyses; perform error analysis and rater reliability studies; integrate with product and UX; apply responsible AI practices and support production monitoring and governance for high-stakes assessments.

Lead R&D and implementation of ML and statistical learning capabilities for English language learning products. Design, build, and monitor production-ready models (NLP, speech, psychometrics), document and present results, mentor junior colleagues, collaborate with engineering, and publish research.

Design scalable, secure enterprise architectures for Generative AI and ML solutions, validate technical feasibility via POCs, define production-ready model and inference patterns, ensure alignment with security, governance and cost targets, and provide technical leadership and reusable architecture patterns across teams.

Design scalable, secure enterprise architectures for Generative AI and ML solutions, validate technical feasibility via prototypes/POCs, define production-ready model requirements and scaling strategies, ensure alignment with governance/security, provide technical leadership and reusable architecture patterns, and evaluate/validate models and emerging AI technologies.

As an AI Engineer, you will build LLM systems, maintain AI solutions, collaborate across teams, and refine infrastructure integration while ensuring system uptime and accuracy.

As an AI Inference Engineer, you will optimize C++ systems for AI model inference on edge devices, collaborating with researchers to deploy and enhance models while ensuring runtime stability and performance.

The Senior AI & Automation Engineer will design and implement intelligent automation systems within the Finance team, integrating AI tools and financial data processes. Responsibilities include creating AI workflows, managing ERP systems integration, and building automation tools for compliance and reporting.

Lead design, development, and deployment of AI solutions; evaluate feasibility; build data pipelines; optimize model performance; mentor junior engineers.

As an AI/ML Engineer at Air Apps, you'll design and optimize machine learning models for mobile applications, collaborate with teams, and innovate enhancements through AI-driven solutions.

The Head of AI Adoption & Enablement drives AI usage across HBX by implementing strategies for AI platform utilization, prioritizing use cases, and providing training for effective deployment.

As an AI Product Manager, you will lead the AI product development lifecycle, collaborate with teams, and align AI technologies with user needs.

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.

As a Full-stack Software Engineer, you will enhance developer workflows, build AI-native tools, and ensure robust infrastructure for product teams at Alan, focusing on seamless integration and operational excellence.

As a Senior AI/ML Engineer, you'll design and develop AI solutions, build production-level ML models, and implement MLOps practices. You'll work with a multidisciplinary team on cutting-edge projects, focusing on AI-powered software and deep learning techniques.

The role involves designing and implementing low-code AI solutions, developing workflows, and improving automation for business processes across various domains.

As a Sales Development Representative, you will connect with global clients, deepen relationships, and drive adoption of AI solutions.

The role involves partnering with teams to implement AI initiatives, analyze data for insights, and present strategic recommendations to leadership.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

The AI / Machine Learning Researcher will conduct applied research, develop prototypes, and work with data to create AI-driven features related to home design.

Conduct applied AI/ML research to solve home design challenges, work with raw data, test hypotheses, and build prototypes/MVP solutions.

Lead the development and deployment of advanced AI and machine learning models, mentor junior engineers, and ensure scalability and robustness of AI solutions.

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.