Top Artificial Intelligence Jobs in Madrid

Develop and maintain scalable backend services for generative AI applications, focusing on Python and AWS integration, while collaborating with teams.

Contribute to fullstack features using JavaScript, Ruby, and Python, collaborating with teams for development, bug fixes, and performance enhancement.

The Staff Engineer, Applied AI will build and unify AI execution platforms, focusing on LLMs and orchestration, while collaborating with product teams and mentoring engineers.

The AI Backend Python Engineer will design and develop backend systems for generative AI applications, overseeing API delivery and AWS infrastructure while mentoring junior engineers.

The AI Backend Python Engineer will lead the architecture for AI backend systems, focusing on integration, design, and mentoring engineers while ensuring performance and scalability across platforms.

Lead AI Orchestration engineering at Zapier, managing teams to innovate AI solutions, shaping tech direction, and driving customer experience through applied AI engineering.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Responsible for delivering AI and data science solutions, driving AI fluency, and collaborating across teams to enhance analytics capabilities and business strategies.

The Senior Director Analyst will provide insights for CIOs in financial services, focusing on risk strategy, technology trends, and best practices.

As a QA Engineer, you will conduct manual testing across multiple platforms, collaborate with teams to identify issues, prepare test cases, help define QA processes, and gradually expand automation efforts.

As Head of Data Engineering, you'll lead the design and implementation of a reliable data platform, managing a team and ensuring data quality while integrating with AI and product teams.

As Lead AI Architect, you will design AI foundations for automation-focused products, oversee multi-agent systems, and lead technical direction for scalable AI architectures.

Join Welo Data to provide high-quality AI datasets including annotation, labeling, and data collection in multiple languages.

This role involves developing market access strategies for Omnipod products, managing stakeholder relationships, and contributing to pricing and contract negotiations within the healthcare space.

As a Staff Backend Engineer, you'll build Python web services, lead technical projects, and mentor engineers while driving AI integration and system performance optimization.

Welo Data seeks contributors fluent in Portuguese for various AI tasks including annotation, evaluation, and prompt creation. Remote work is available.

Welo Data seeks individuals fluent in Ukrainian for remote roles in annotation, evaluation, and data collection to enhance AI models.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

Welo Data seeks native Serbian speakers for remote roles in data annotation, evaluation, and prompt creation to enhance AI inclusivity.

Join Welo Data to contribute to AI projects by providing high-quality language data through annotation, evaluation, and prompt creation while working flexibly in a remote environment.

Join Welo Data to enhance AI through language data in a flexible, remote role requiring detail-oriented and culturally aware contributors.

Join Welo Data to work on AI projects involving data collection, annotation, and evaluation. Flexible remote work with a focus on high-quality language data.

Welo Data seeks individuals for annotation, evaluation, and prompt creation roles in AI, focusing on language data and cultural relevance. Ideal candidates are detail-oriented with native English proficiency.

Join Welo Data to work on AI projects involving annotation, evaluation, and prompt creation, focusing on high-quality language data.