Top Artificial Intelligence Jobs in Valencia

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

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.

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

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

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.

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.

Join Welo Data to assist in AI projects, contributing to language data quality through annotation and evaluation while working remotely.

Join Welo Data to evaluate German language data for AI models, focusing on search results and machine translation quality. Remote work with flexible scheduling.

Join Welo Data to help enhance AI through annotation, evaluation, and prompt creation with a focus on language data. Flexible remote work.

As a Lead Full Stack Engineer, you will drive the technical strategy and development of our SaaS insurance platform while mentoring engineers and overseeing AI integration.

Lead business development in Life Sciences, drive client acquisition, and develop AI & Data strategies. Mentor teams and foster collaborations across departments.

Lead the development of robot policies, focusing on task planning, computer vision, and decision-making in robotics. Mentor teams, drive technical roadmaps, and collaborate on scalable AI solutions.

The Senior Robotics AI/ML Engineer at Analog Devices will develop AI-based robot policies, work on task planning and computer vision, and integrate AI into robotics systems, while collaborating with multidisciplinary teams.

Lead the design and implementation of test frameworks for AI and robotic systems, ensuring reliability and robustness through automated testing and collaboration with AI and hardware teams.

Lead the development of AI-first perception systems, integrating AI with classical robotics algorithms, focusing on real-time localization and scene understanding.

Design, optimize, and evaluate prompts for generative AI applications, collaborating cross-functionally and continually improving methodologies.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.