Top Artificial Intelligence Jobs in Portugal

Lead the development of AI agents and associated platforms, focusing on multi-agent systems, LLM training, and production infrastructure. Collaborate across teams and mentor engineers.

As a Senior AI Engineer, design and develop AI solutions, conduct research, support demos, and lead knowledge-sharing sessions, promoting best practices in AI.

Provide technical support for AI inference issues, troubleshoot deployment problems, analyze logs/metrics, and enhance platform usability by collaborating with engineering.

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

You'll develop specs and workflows, implement quality standards, and improve data pipelines while collaborating with teams throughout the delivery lifecycle.

The role involves developing data pipelines, designing evaluation workflows, supporting presales and project delivery, and improving client implementations.

Lead the development of GenAI infrastructure, build ML platforms, contribute to LLM testing and deployment, and collaborate across teams to improve AI-driven experiences.

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.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

Lead AI initiatives for Data Intelligence product, managing the product lifecycle and collaborating across teams to deliver AI solutions.

The AI Engineer will design and develop IT architecture solutions with AI and deep learning technologies, collaborate with teams, and improve AI model performance.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

This role involves architecting and building AI agent systems, developing full-stack features, and shaping the technical direction of an early-stage startup's AI platform.

As an AI Graphic Designer, you'll create engaging visuals using AI tools, analyze performance data, and work with marketing teams to produce high-quality design assets for eCommerce brands.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

The AI Automation Consultant will drive automation initiatives using Microsoft Power Platform, engaging with stakeholders to design and deliver AI-enhanced solutions and optimize workflows.

The Senior Backend Engineer will enhance infrastructure, optimize product flows, and ensure robust systems for Speechify's AI team, focusing on voice cloning and text-to-speech technologies.

The Senior DevOps Engineer will design, implement, and optimize ML/AI pipelines using Azure Databricks, ensuring AI models are production-ready and scalable.

Lead design and implementation of complex open-source AI solutions, provide technical guidance, engage with clients, and contribute to open-source communities.

The role involves building AI-driven products, designing intelligent workflows, and developing data pipelines for efficient AI integration and automation.

Lead a team of designers in creating AI-powered marketing and UI/UX designs, while managing projects, providing feedback, and developing processes.

Develop and enhance AI-driven architectures and cloud-based services, collaborating with teams to deliver scalable solutions and mentor junior engineers.

As a Senior Software Engineer, you'll design AI-driven architectures for intelligent customer engagement platforms, working on cloud-based systems and mentoring junior engineers.

The role combines designing AI/ML architectures and hands-on engineering on AWS. Responsibilities include client requirements gathering, cloud architecture design, and implementing CI/CD for AI workloads.

As an AI/Machine Learning Engineer, you will design and implement ML pipelines, enhance production models, and collaborate with data scientists and engineers to drive business value.