Top Artificial Intelligence Jobs in Portugal

The Curriculum Manager will oversee the content development lifecycle, recruit instructors, design curriculum, assess course performance, and improve data science and engineering content.

As a Principal AI Engineer, you'll build and evolve AI tutoring systems, run experiments for learning effectiveness, design software, collaborate across teams, and prototype AI interactions.

As an AI Creative Producer, you'll develop and scale AI-generated content across various platforms, collaborate with teams, and enhance production workflows.

Build and maintain enterprise web applications using .NET and Angular, participate in full SDLC, integrate AI services and APIs, leverage AI-powered development tools and LLM/RAG solutions, contribute to architecture and technical decisions, collaborate with clients and delivery teams, and ensure compliance with enterprise/regulatory standards.

Build and productionize generative AI systems and ML pipelines for unstructured data (documents, transcripts, images). Develop APIs, retrieval/RAG workflows, embedding pipelines, and model monitoring. Collaborate with data scientists and engineers to deploy, monitor, and maintain scalable, secure AI services using cloud and MLOps practices.

We are seeking an experienced AI Engineer with a focus on Generative AI to develop scalable solutions. Responsibilities include AI development, programming in Python, LLM integration, and API integration.

The AI Infrastructure Engineer will build and manage scalable model serving infrastructure for AI/ML applications, ensuring high efficiency and reliability in production.

Lead the Portugal COE innovation roadmap: run workshops, mentor teams, prototype and build FOAK automations using Google Apps Script and LLM-assisted coding, and operationalize experiments into deployed, documented, billable solutions.

Lead product strategy and delivery for AI agent configuration and personalization features. Build admin and user-facing tools (personas, tone, permissions), collaborate with engineering and design, measure adoption and satisfaction, and iterate using customer discovery and data-driven validation.

The Business Development Rep will qualify clients and manage outreach in AI Cloud sales, engaging technical audiences and developing partnerships.

The Product Manager for AI Productivity will identify, prioritize, and implement AI-driven initiatives, focusing on improving operational efficiency at Salsify.

Design, build, and scale ETL/ELT and real-time data pipelines for AI workloads (RAG, fine-tuning, batch inference). Transform unstructured data into vectorized formats, manage feature stores and vector databases, enforce data quality/governance, integrate event systems (Kafka), and collaborate with ML and engineering teams.

Lead end-to-end development and integration of AI features (LLMs/ML) into web/mobile apps and APIs. Design AI-first UX, craft and optimize system prompts, build agentic workflows (LangChain/CrewAI/AutoGen), implement error-handling and hybrid cloud/on-prem deployments, and collaborate within product squads using Agile/Scrum.

Define product vision and strategy via market research and data analysis; build prioritized roadmaps; collaborate with PMs, designers, and engineers to launch products; communicate with stakeholders; track performance and iterate post-launch.