Top Artificial Intelligence Jobs in Portugal

As an AI-Native Developer, you'll manage a portfolio of products, innovate with AI agents, and ensure quality of AI-generated code, owning your outputs from start to finish.

Join the AI engineering team to develop reliable AI infrastructure for manufacturing systems, focusing on MCP servers, telemetry, and model retraining pipelines.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

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

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

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

The role involves designing and implementing AI features within trading applications, focusing on model optimization, prompt engineering, and collaboration with teams to enhance software capabilities.

Lead technical efforts in AI integration for hospitality products, manage both C# and C++ systems, and mentor the engineering team.

The Senior Data Engineer will drive innovation using AWS and big data technologies, collaborate with teams, and ensure data integrity while architecting pipelines and enabling AI-powered data products.

The Senior Backend Developer will design AI pipelines, maintain backend microservices, manage AWS infrastructure, and ensure systems are production-ready while collaborating with cross-functional teams.

The AI Specialist will identify AI opportunities, transform processes through tech-driven solutions, implement AI tools, and manage project execution from concept to deployment while advising on best practices.

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.

Design and execute integration test plans, validate AI components, collaborate with developers, and mentor junior QA engineers, focusing on AI-driven testing methodologies.

The AI Designer will create UI concepts using AI tools and manual design, focusing on visual storytelling, usability, and product-ready design. Responsibilities include AI-driven creation, rapid ideation, refinement of designs, building UI systems, and ensuring high-quality execution.

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

The Senior AI Engineer will design and implement scalable microservices and AI systems, optimize prompts, integrate LLMs, and ensure system reliability and collaboration with teams.

As a Principal AI Researcher, you will lead AI research projects, mentor teams, and implement innovative AI technologies for Veracode's products.

Lead the product strategy for AI agent testing and observability, ensuring tools for testing agent behavior and quality scoring are user-friendly for non-technical users in B2B environments. Coordinate across multiple teams to deliver integrated solutions.

Develop and deploy AI features for a SaaS product, architect scalable backends, optimize vector databases, and manage Azure AI infrastructure.

Join the Jimdo AI team to architect and build the Companion system, integrating AI to assist microbusiness owners in various business tasks and workflows while ensuring system intelligence improvements and architectural scalability.

The Product Manager - AI will define AI product direction, collaborate with engineering, and solve complex user problems in payroll and compliance workflows.

As a Lead AI Engineer, you will design scalable AI systems, optimize natural language querying, and integrate data engineering with AI capabilities to enhance business insights.

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 a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.