Top Artificial Intelligence Jobs in Lisbon

The Lead AI Engineer will lead the AI Ops team, developing automations and AI agents to improve internal operations and customer service in a fintech setting, while managing engineers and prioritizing tasks effectively.

As an AI-native growth hacker, you will implement a growth strategy, focusing on a specific growth wedge, leveraging AI tools, and measuring performance to scale successfully.

Lead AI architecture and implementation for financial services clients: support business development, enable and manage engineering teams, design scalable LLM/multi-agent systems, ensure AI safety, compliance, and monitoring, and translate business needs into technical specifications.

The Quality Assurance Engineer will participate in Agile ceremonies, design automated tests with Python, apply AI-assisted techniques, and improve QA practices for optical networking solutions.

As a Full Stack Engineer, you'll design and deliver backend services, build AI agent tools, integrate APIs, and automate workflows, while ensuring operational excellence and CI/CD practices.

Responsible for delivering AI-powered product features, managing AI roadmap alignment, and collaborating with data scientists and UX teams. Requires strong AI knowledge and over 5 years of Product Management experience.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

The AI-First Graphic Designer will create visual assets for digital platforms, maintain brand consistency, and collaborate on marketing campaigns. The role requires managing multiple design requests in a fast-paced environment.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

The AI Solutions Architect will lead the design and improvement of Fortis Games' IT systems, utilizing AI and automation to enhance security, scalability, and efficiency.

Lead product strategy and execution for AIVM's agentic AI and blockchain platform, ensuring technical alignment and market-readiness of the product.

Lead the LLM team at EverAI, focusing on architecture, training, and deployment of models for AI companions. Responsibilities include coding, model lifecycle management, and developing high-precision moderation systems.

Develop and optimize AI pipelines for workflow intelligence, experiment with models, and collaborate to integrate AI systems into workflows.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

The AI Solutions Architect will architect and deliver AI solutions, integrate AI models into workflows, and define scalable data architectures while collaborating with stakeholders and ensuring system reliability.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.