Job Description

Nome da função:

Localização:

Regime de trabalho:

Vem fazer parte de um ecossistema dinâmico onde o futuro dos negócios é criado e vivido todos os dias. Faz parte desta transformação!

Na LUZA Group, a paixão, a perseverança e a vontade de superar limites definem o nosso caminho para o sucesso.

Fundada em 2006, somos uma multinacional portuguesa com mais de 1.200 profissionais talentosos e um volume de negócios que supera os 30M€. Com presença em mercados estratégicos como Portugal, Espanha, Marrocos, Brasil, México, Estados Unidos e China, oferecemos soluções inovadoras em engenharia, TI, design, consultoria, Indústria 4.0, formação e recrutamento. Tudo o que fazemos é movido pelo talento das nossas pessoas.

Este é um momento de crescimento e oportunidade. O futuro pertence a mentes visionárias. Vais juntar-te a nós?

Resumo / Visão geral:

We are looking for AI Engineers to join the AI team of one of our major clients in the energy sector. The selected consultants will be responsible for the design, development, integration and maintenance of AI agents and intelligent automation solutions, supporting the implementation of enterprise AI initiatives. The role includes developing AI agents, orchestration workflows, RAG-based solutions, integrations with corporate systems, and automated content and document generation, using modern AI engineering platforms and technologies.

Responsabilidades e Tarefas da Função

• Design, develop and evolve AI agents and intelligent automation workflows.
• Integrate LLMs, corporate data sources and enterprise systems.
• Implement and maintain orchestration pipelines.
• Design and operationalize RAG solutions using vector-based architectures.
• Integrate AI agents with tools, APIs and external systems, including MCP servers.
• Select appropriate architecture models (cloud, hybrid or on-premises).
• Validate AI-generated outputs and implement human-in-the-loop controls.
• Contribute to AI engineering best practices and governance.

Requisitos Obrigatórios

• Experience in at least one project with duration greater than 6 months.
• Experience in at least one project involving collaboration with another AI Engineer.
• Experience in at least one project involving integrations with services or products.
• Experience delivering at least one end-to-end project autonomously, from design to production.
• Experience identifying and creating solutions to address business needs or problems.
• Strong analytical and problem-solving skills.
• Strong interpersonal skills.
• Strong unit testing capabilities.
• Team-oriented mindset and initiative.
• Degree in Computer Science, Information Systems, Management Information Systems or similar.
• Strong command of both Portuguese and English, written and spoken.

Technical Skills

• Solid knowledge of Agentic AI architectures and the complete AI agent lifecycle.
• Experience designing agentic processes that effectively combine intelligent automation with human-in-the-loop intervention to optimize business outcomes.
• Knowledge of Generative AI limitations, risks and best practices in enterprise environments.
• Experience with Microsoft Azure services relevant to AI solutions.
• Experience using Azure AI Foundry.
• Ability to design cloud, hybrid and on-premises architectures.
• Knowledge of n8n orchestration and integration platform.
• Experience building workflows, API integrations and data transformations.
• Experience implementing RAG solutions using Azure AI Search.
• Experience with vectorization, indexing and retrieval processes.
• Experience developing and integrating conversational AI agents.
• Knowledge of MCP (Model Context Protocol).
• Experience integrating agents with tools, APIs and external systems through MCP.
• Experience with automated document generation (Word, PDF, Excel, reports and standardized files).
• Azure DevOps.
• MIRO.

Requisitos Complementares

• More than 1 year of experience working with Scrum and/or Kanban.
• More than 1 year of experience with Azure DevOps.
• Knowledge of the energy sector and REN business context.
• Experience developing, integrating and maintaining software solutions within AI-assisted SDLC environments.
• Experience collaborating with AI agents to support analysis, development, testing, documentation and support activities.

#VisionaryFuture - Build the future, join our living ecosystem!