Top Artificial Intelligence Jobs in Lisbon

Lead technical projects for the Workers AI team focused on deploying AI inference, building innovative features, and enhancing developer experience.

As an AI Engineer, you will shape Cloudflare's AI strategy by developing AI-powered applications, collaborating across teams to enhance developer tools, and building scalable AI solutions.

Join a team to build AI agent tooling and platforms, focusing on integrating technologies and maintaining high-performance applications.

As a Product Manager at Cloudflare, you'll lead the vision and execution for Cloudy, a conversational AI platform, engaging with customers and cross-functional teams to enhance product development and security operations.

Join the ETI team to innovate AI products impacting internet security and speed, blending software development with systems engineering principles.

Join the ETI team as a Systems Engineer, working on innovative products that enhance internet security and speed for users. Collaborate on shaping product features based on technical possibilities and meet ambitious engineering goals.

The consultant will leverage AI and Generative AI to provide data-driven insights, build models, and drive client impact while collaborating on project delivery.

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

The Associate Web Developer will build and maintain Snyk's web pages, collaborating with teams to enhance user experience and monitor site performance.

As a Senior Web Developer at Snyk, you will lead the development of the global marketing website, mentor junior developers, and manage technical architecture and project delivery, ensuring high performance and accessibility standards are met.

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.

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

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 role involves leading AI/ML feature development, providing technical guidance, and enhancing application scalability while collaborating with cross-functional teams.

The engineer will develop AI and ML products, collaborate with teams to solve customer problems, mentor colleagues, and improve platform scalability.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

Coordinate AI adoption initiatives, manage change, deliver training, define best practices, and monitor adoption metrics across Pipedrive.

As an ML Engineer II, you will develop and improve core components of Zendesk's GenAI infrastructure, focusing on LLM applications, benchmarking frameworks, and orchestration tools for AI agents while collaborating with cross-functional teams.

As an AI Developer, you will develop software features related to AI, participate in projects, perform requirements analysis, write quality code, and troubleshoot. You are expected to have a minimum of 3 years of experience and a degree in a tech-related field.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.