Top Artificial Intelligence Jobs in Lisbon

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.

Partner with Account Executives to present Arize's GenAI observability platform, lead technical demos and discovery, design and run PoCs, advise on GenAI/LLM best practices, handle technical objections, and build relationships with technical and business stakeholders across prospective customers.

Produce high-quality AI-generated visuals for performance marketing across paid channels and landing pages. Create photorealistic human and lifestyle imagery, iterate based on performance data, integrate AI outputs into design pipelines, and collaborate with marketers, copywriters, and video teams to deliver conversion-focused creative variants.

Lead end-to-end architecture for enterprise data, analytics, and AI in a Microsoft-first environment. Translate business needs into secure, scalable designs, prototype and guide delivery teams, ensure governance, security, and production readiness, and enable enterprise AI (Azure OpenAI, RAG) and BI (Power BI) solutions.

Design and implement generative AI and ML solutions, build multimodal agents and automated workflows, develop MLOps tooling and cloud deployment pipelines (Azure/AWS/GCP), use Python/Databricks/SQL/PySpark/Docker/LangGraph, document work and present results to stakeholders.

As an AI Product Manager at n8n, you'll develop AI-driven product experiences, coordinate with various teams, and innovate through user-centric design, focusing on AI trust and building.

Build and operate distributed backend services and genomic reasoning engines that combine whole genome bioinformatics with AI. Design scalable data models, retrieval and vector search systems, and deterministic guardrails to ensure scientifically accurate, explainable genomic AI for production use.

Design and build production AI systems and distributed backend services that enable genomic reasoning, retrieval, and data platforms. Integrate genomic annotations and interpretation logic, architect high-performance data models and storage across PostgreSQL, DuckDB, Qdrant, Redis, and Spark. Ensure AI outputs are accurate, explainable, and grounded in genomic evidence while collaborating across engineering and bioinformatics teams.

Develop and optimize large neural-network tabular models in Python. Profile training and inference pipelines, improve memory efficiency, latency, and throughput. Implement performance-critical components in Rust (and optionally C++), ensure numerical stability and reproducibility, collaborate with researchers to productionize capabilities, and maintain tests and documentation.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

Create short- and long-form AI-generated educational and entertainment content for Instagram, TikTok, and YouTube. Rapidly test content hypotheses, analyze performance, research trends and competitors, and iterate on hooks, storytelling, and editing. Collaborate with the product team and continually experiment with AI image/video generation and editing tools.

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.

Design and scale GTM systems and AI-powered workflows across sales, marketing, and product. Build agents, integrate Salesforce/HubSpot, turn product and user data into growth signals, create lead-scoring/routing/onboarding flows, identify bottlenecks, run experiments with founders to drive measurable revenue impact.

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.

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.

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

Build and productionize AI-native systems for a fintech neobank: AI agents, LLM apps, RAG/retrieval, tool-calling, automations and AI-assisted experiences for onboarding, KYC, support, risk, CRM and operations while addressing accuracy, latency, cost, security and compliance.

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.

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

Lead AI-driven IT projects from concept to delivery: plan and govern project execution, manage risks and progress, coordinate cross-functional teams and external vendors, implement automation and intelligent agents, and report to executives while ensuring alignment with business objectives.

Develop and maintain scalable full-stack applications using .NET and React. Integrate cloud architectures, APIs, and generative AI/LLM capabilities. Build AI agents, intelligent automation, and workflow orchestration. Apply DevOps/CI-CD practices, ensure secure high-performance solutions, and work in an agile hybrid environment (3 days onsite). Portuguese fluency required.

Administer and maintain Windows and Linux servers, cloud infrastructure (Azure/AWS), and Microsoft 365. Implement monitoring, automation, performance optimization, AI platforms, and intelligent services. Ensure secure, scalable, highly available systems with strong scripting (PowerShell/Bash), IAM, observability, and cybersecurity best practices. Provide hybrid on-site support in Lisbon.

Build full-stack software that turns satellite intelligence into mission-critical decisions. Architect and implement deterministic multi-agent orchestration, geospatial RAG with distributed vector consistency for DDIL environments, optimize high-concurrency spatial indexing and queries, and integrate AI/LLM workflows across cloud and edge. Collaborate cross-functionally, ship production systems, and prepare for forward-deployed, customer-facing engineering roles.

Design, build, and operate backend services for an AI-driven financial assistant. Own full SDLC, ensure performance, scale, resilience, and collaborate in small autonomous teams.

Lead backend engineering and AI-agent integration efforts: design agent-ready systems, context pipelines, CI/CD and test guardrails, migrate monoliths to microservices, set API and schema standards, mentor engineers, and drive AI-assisted development practices.