Top Artificial Intelligence Jobs in Portugal

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

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.

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.

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

Lead AI strategy and delivery for Finance: identify high-impact use cases, own end-to-end delivery from MVP to production, design/build AI agents, automation and data pipelines, partner with CFO/SVP Finance on roadmap, ensure governance/compliance, drive adoption and measurable ROI.

The Senior AI Engineer will lead AI projects, develop scalable intelligent systems, mentor junior engineers, and ensure compliance with best software practices.

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.

Create and edit short-form vertical videos for social media using AI tools, ensuring quality, character consistency, and appropriate syncing of audio elements.

The role focuses on enhancing AI adoption among engineering teams by delivering training, improving workflows, and developing enablement tools, while collaborating closely with various roles across the organization.

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.

Looking for Fullstack Developers to create an operating system-like platform for an AI agent. Candidates need strong development experience, OOP architecture knowledge, and Gen AI familiarity.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

As an AI Research Engineer, you will develop multi-modal reinforcement learning systems, focusing on optimization across data modalities, conducting research on algorithms, and building infrastructure for scalable training and evaluation.

As an AI Research Engineer, you will optimize model serving and inference architectures, focusing on high-performance, resource-efficient solutions for AI systems across various deployment environments.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

Build end-to-end AI-first features for a benefits platform, working across frontend (React/TypeScript) and backend (Python/FastAPI/SQLAlchemy). Ship production code, integrate ML components (LLMs, recommenders, RL), maintain CI/CD and cloud deployments (GCP preferred), collaborate with product/design, write tests and documentation, and participate in peer review and iterative development.

Lead evaluation and benchmarking of AI-driven genomic interpretation: own gene/disease/variant mapping logic, define accuracy and release criteria, establish regression standards, partner on automated validation, and guide where deterministic logic supplements models.

Design, implement, and run automated benchmarking and validation pipelines for AI-driven genomic interpretation. Expand regression datasets, execute large-scale validation across curated VCFs, surface accuracy regressions, build automated QA for AI releases, and integrate validation into CI/CD with dashboards and documented failure modes.

Drive social media growth and media strategy for Instagram and TikTok, analyze performance, and develop AI-driven solutions for content strategies, optimizing workflows with a focus on data.

Design, build, and deploy production LLM-driven systems for requirements and hardware engineering. Develop agentic flows, benchmark and evaluate models, build evaluation pipelines and tests, optimize cost and latency, and collaborate with cross-functional teams to ship and continuously improve AI features.

Design, build, evaluate, and deploy LLM-driven features and AI systems. Collaborate with engineering and product teams to implement RAG, monitoring, CI/CD, and scalable cloud ML deployments while continuously improving model performance.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

The Generative AI Design Specialist will design and implement workflows for AI visual content, ensuring high-fidelity outputs, analyzing trends, and collaborating with media teams.

The AI Video Editor / Motion Designer creates AI-driven videos, enhancing quality and performance, collaborates to develop concepts, and integrates AI tools for efficiency.