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DevOps Engineer Ref_OE_2026_15862
Cidade / Localidade País Área Tipo de oferta Regime de trabalho Internacional Data Validade
Lisboa, Coimbra ou Braga Portugal Informática Tempo Inteiro Híbrido Não 03 Jul 2026 03 Ago 2026
Área Tipo de oferta Regime de trabalho Empregador País Internacional Data Validade
Informática Tempo Inteiro Híbrido Dellent Portugal Não 03 Jul 2026 03 Ago 2026
Empregador
Dellent
Descrição
Dellent is a consulting company focused in System Information and Telecommunications. Our goal is to help our candidates and consultants to take a step forward in their careers through projects that meet their needs and expectations.

Can you imagine yourself being part of a global, innovative, and ever-evolving project, where technology and creativity come together to create solutions that make a real impact? If you’re looking for a dynamic environment with a culture of collaboration and innovation, where you’ll have access to exciting challenges and real opportunities for growth, then this is the project for you!

We are looking for a DevOps Engineer to work in Lisbon, Coimbra or Braga (Hybrid).

Requirements:
- At least 5–8 years of professional software development experience;
- At least 2 years building or operating generative AI / LLM-based solutions in production;
- Demonstrated breadth across multiple GenAI solution types (e.g., conversational, agentic, RAG, document intelligence, integrations);
- Strong Python and/or TypeScript;
- Solid software engineering fundamentals (testing, version control, code review);
- Experience with Azure cloud, Azure OpenAI, Azure AI Foundry, Microsoft Graph, REST API integration;
- Practical experience with at least three GenAI solution patterns from the following: conversational agents, agentic/multi-agent workflows, RAG, document intelligence, AI-driven integrations;
- Prompt engineering, evaluation, and guardrail design for LLM-based applications;
- Experience with CI/CD pipelines, IaC (Bicep / Terraform), containerization (Docker), observability tooling;
- Fluency in English.

Nice-to-have:
- Agentic frameworks (Microsoft Agent Framework, LangGraph, Pydantic AI etc.);
- Vector stores and knowledge-graph tooling (Azure AI Search, Qdrant, Neo4j, LlamaIndex etc.);
- Azure AI Services (Document Intelligence, Vision, Speech, Translator) for multimodal application development;
- Fine-tuning and model customization on Azure OpenAI / Azure AI Foundry;
- GitHub Copilot enablement experience;
- Azure AI Engineer (AI-102) certification.

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