Top Artificial Intelligence Jobs in Lisbon

As a Senior Backend Engineer at Zendesk AI Agents, you'll develop and maintain backend services, work on microservices architecture, and lead initiatives in AI-driven products.

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

Oversee integration of automation solutions and AI technologies, enhancing operational efficiency and process improvement through collaboration with stakeholders.

As an AI Specialist, you'll develop and implement AI solutions, collaborate on business challenges, and create scalable models while documenting processes and communicating findings.

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

The Principal Product Designer will drive product design strategy, mentor other designers, and lead complex design initiatives while ensuring high-quality, user-centered design practices.

The AI Specialist in Customer Success drives AI adoption, collaborates with customers to realize business outcomes, and strengthens customer relationships using Zendesk AI solutions.

Lead a team of AI Product Designers to shape the future of AI-powered developer tools, managing design strategy, user research, and cross-functional collaboration.

The Curriculum Manager will oversee the development and improvement of the Artificial Intelligence curriculum, recruiting instructors, creating course content, and collaborating with cross-functional teams to enhance learning experiences.

The AI Specialist coordinates customer success using Zendesk AI solutions, driving AI adoption, enhancing customer relationships, and managing overall customer health for successful outcomes.

The role involves architecting and building high-performance Golang microservices, enhancing ML infrastructure, and developing scalable data solutions. A focus on cloud-native architecture and strong technical leadership is essential.

As a Fullstack Engineer, you will build AI-driven features, focusing on frontend development while also contributing to backend services and collaborating with cross-functional teams to enhance user experiences.

Responsible for developing and launching AI-powered solutions, overseeing integration within core operations, and driving product strategy aligned with business objectives.

The Middle Infrastructure Engineer will deploy, scale and maintain AI services, collaborating with ML Engineers and Data Scientists to modernize the platform.

As a Senior Generative AI Engineer, you'll design, build, and deploy generative AI systems, provide technical leadership, and collaborate across teams.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

WunderGraph seeks a Staff FullStack AI Engineer to lead architecture for AI-driven projects, mentoring engineers and ensuring scalable, secure systems. Responsibilities include backend and frontend development with a focus on AI workflows and enterprise readiness.

The Machine Learning Engineer will architect and develop an AI platform for scientific workflows, integrating autonomous agents, and collaborating with cross-functional teams on ML/AI systems.

The Director of Operations/Strategy will lead strategic planning, facilitate cross-functional coordination, and represent the cofounder in various executive initiatives.

The AI/ML Engineer will develop and maintain AI algorithms, create data pipelines, collaborate on product features, and ensure a high-quality customer experience.

The AI Engineer will implement AI features, fine-tune models, and research to drive product innovation in a startup environment.

The role involves designing and implementing scalable AI systems, improving workflows, conducting evaluations, and collaborating across teams to enhance AI products.

Applied AI Engineers will define and deliver AI systems for clients, shape AI visions, build products, and advance the core product using real-world data.

Lead research in AI/ML-enhanced simulation tools for human experience, design algorithms, engage with industry partners, and publish findings.