Top Artificial Intelligence Jobs in Lisbon

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.

The role involves managing marketing operations, optimizing workflows, building AI integrations, and collaborating across teams to drive automation and efficiency in marketing processes.

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

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.

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.

Lead the product team at Zego, driving strategic direction and AI integration, managing cross-functional programmes, and mentoring PMs to enhance product impact.

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.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

As a Senior Platform Engineer, you will architect multi-cloud infrastructures for AI-driven applications, focusing on automation, CI/CD pipelines, and stakeholder collaboration.

This role involves selling AI agents to businesses, focusing on relationship-building in the community and consultative selling across various deal sizes. You will nurture leads and close deals through networking at events and personal connections.

The Junior Account Executive will sell AI solutions to individual businesses, fostering relationships and closing deals through community engagement and consultative selling.

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.

Lead strategic product roadmaps, conduct market intelligence, manage pricing strategy, apply data analysis, and mentor teams while collaborating with cross-functional partners.

Design and develop automation workflows using Power Automate and Power Apps, integrate APIs, build chatbots, and ensure SDLC best practices.

The AI Engineer specializes in document intelligence and applied GenAI, focusing on designing, training, and deploying models for extracting structured data from unstructured documents, collaborating on real-world ML challenges, and optimizing AI systems at scale.

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

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The Junior Account Executive will engage with businesses to sell AI agent solutions, focusing on building relationships and demonstrating value in community settings.

The Junior Account Executive will engage directly with local businesses to demonstrate AI agent solutions, build relationships, and close sales across a range of AI products. They will attend events to nurture leads and leverage their community network to drive business.

As a Junior AI-Augmented Product Engineer, you'll collaborate with the Platform Owner to gather requirements, write specifications, and oversee AI-assisted product development, focusing on documentation and cross-team alignment.

The role involves developing sophisticated LLM-powered autonomous agents, integrating intelligent services, and ensuring systems' scalability and reliability. Responsibilities include architecting AI modules, leading agile sprints, and monitoring production lifecycle with CI/CD roles.

Lead technical initiatives for Generative AI in logistics, design architecture, implement evaluation pipelines, and mentor engineers.

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.