Top Artificial Intelligence Jobs in Portugal

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.

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.

Lead full‑stack web application development while integrating AI-assisted workflows. Use AI coding assistants and agentic techniques to design, implement, test, and validate production‑grade frontend and backend systems. Build reusable prompts and agent workflows, establish verification and guardrails for AI-generated outputs, contribute to architecture and engineering standards, and mentor teams on responsible AI-enabled development.

Lead design, training, and evaluation of LLMs for translation and language-quality tasks; build robust evaluation frameworks; architect agentic multi-model workflows; own model development from data curation to production; run reproducible experiments; collaborate with product and engineering and mentor researchers.

Lead research and analysis of the enterprise AI services market, build market-sizing and forecasting models, publish thought leadership, advise C-level clients, present at events, support sales and peer review, mentor junior analysts, and drive research process improvements to deliver actionable insights on AI services and competitive dynamics.

Operate and improve an enterprise AI document search and Q&A platform on Azure. Maintain containerized services (FastAPI, Streamlit, APScheduler), manage Azure infrastructure via Terraform, build CI/CD with GitHub Actions, onboard AI use cases, develop document ingestion pipelines (SharePoint, wikis, web), run automated LLM evaluations and observability, and collaborate with data scientists to integrate models and agents.

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

Own the AI platform roadmap and build reusable capabilities (prompting, RAG, tool calling, agents, evaluation, observability). Run discovery, prioritize AI investments, partner with Product, Engineering, Design and Data, guide other PMs, define success metrics, and ensure scalable, reliable AI-powered features that deliver customer and business value.

Design, build and operate cloud-native full‑stack web applications for a healthcare SaaS. Integrate AI-native features using LLMs, retrieval, agents and workflows. Own reliability, security and DevOps practices; collaborate with product, UX and architects; stay close to clinical users to deliver outcome-driven features.

Own end-to-end product for a slice of Nebius AI compute platform: define strategy, APIs, and roadmaps; drive cross-team delivery; conduct structured discovery; measure adoption and platform outcomes; engage engineering as a technical peer; and close operational feedback loops to improve reliability and customer experience.

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.

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

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.

Identify and validate high-value AI use cases for financial services, lead discovery workshops, build ROI-driven business cases, map and redesign workflows, define technical requirements and acceptance criteria, prototype solutions with no-code tools, implement AI governance and ontologies, and ensure business-aligned delivery and compliance.

Drive outbound prospecting across EMEA to generate high-value pipeline. Run a busy outbound lead pipeline, target cold accounts and expansions, use social tools, collaborate with Account Executives, meet targets and deliver outstanding customer experience in a hybrid Lisbon/remote model.

Lead Full Stack Engineer owns design-to-production of an AI-first repossession and remarketing platform. Shape architecture, build scalable resilient services, integrate LLMs/GenAI for validation and document processing, drive technical decisions, reduce technical debt, operate production systems, and mentor engineers while working in cross-functional agile teams.

Support Shopify administration and Flow automations, maintain Google Apps Scripts and API integrations, manage access and SaaS subscriptions, configure Recharge subscription flows, and document processes. Use AI tools (Claude, ChatGPT) and n8n to build automations, test end-to-end, and liaise with vendors and internal teams to keep e-commerce systems running smoothly.

Build and own AI/LLM-assisted product features in Ruby on Rails: integrate LLM APIs, implement prompts and retrieval patterns, ensure reliability, security, and performance, write automated tests, debug production issues, and improve system behavior over time.

Own and evolve data and systems infrastructure (Supabase, n8n, HubSpot, external integrations), build and maintain automation pipelines and AI agent orchestration for content production, create simple UI integrations, evaluate and swap modular tools, and partner with leadership on architecture and roadmap.

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

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

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.

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.

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