Top Artificial Intelligence Jobs in Portugal

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

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.

As the Director of AI, you will define and drive the AI strategy, oversee R&D efforts, and lead organizational adoption of AI workflows across various departments.

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

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.

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.

The Senior Product Manager will develop Feedzai's Transaction Fraud solutions, coordinating with cross-functional teams and managing customer feedback to enhance product strategy and execution.

Develop and prototype advanced AI agents and multi-agent systems for the Automotive sector, focusing on secure interactions and structured outputs.

As the AI & Automation Operations Manager, you will optimize AI and automation in customer support, manage priorities, coach team members, and drive operational excellence through data-driven insights and performance evaluation frameworks.

Lead the development and scaling of technology-enabled Safety/Pharmacovigilance solutions, manage cross-functional teams, and drive innovation with customers and partners.

The Head of AI will lead applied-AI projects, design large-scale systems, prototype workflows, and manage a team of AI engineers, ensuring integration with cybersecurity processes.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

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.

Develop and optimize low-level kernels for AI inference, improve inference engines, debug performance issues, and collaborate across teams.

The Director Analyst will create valuable research for clients in cybersecurity, analyze market trends, and support sales efforts with insights and presentations.

As an AI Creative Producer, you'll develop and scale AI-generated content across various platforms, collaborate with teams, and enhance production workflows.

Design and develop AI/ML solutions, lead RAG architecture implementation, automate deployment, and perform advanced data analysis.

The AI Enablement Lead will drive AI adoption at Paddle through enablement programs, cross-functional collaboration, governance frameworks, and community building.

Develop and enhance AI solutions using Large Language Models through research, reinforcement learning, and collaboration with cross-functional teams to integrate capabilities into products.

As a Learning Experience Designer, you will create transformative learning experiences by integrating psychology, AI, and storytelling, crafting engaging courses, developing AI interactions, and iterating based on learner feedback.