AI DevOps

Join an international project as an AI DevOps Engineer, taking ownership of production-grade Generative AI solutions and helping scale them across the business. This role is ideal for a DevOps professional who has moved into AI/LLM solutions, or an AI engineer with strong DevOps and platform operations skills.

Location: Lisbon, Braga or Coimbra (hybrid 2x per week in one of these locations) — candidates must be already based in Portugal

Responsibilities

- Take over and stabilize AI solutions built by external vendors (agents, copilots, RAG apps, document intelligence, LLM integrations), reviewing code, prompts and architecture to close technical debt.

- Design and ship new AI features using Azure OpenAI, Azure AI Foundry, Copilot Studio and Azure AI Services, applying RAG, agentic workflows and fine-tuning as appropriate.

- Build and maintain CI/CD pipelines (GitHub Actions/Azure DevOps) and apply LLMOps practices: prompt versioning, evaluation, A/B testing and regression testing.

- Implement observability for cost, usage and response/grounding quality, and act as L3 support for incident resolution and permanent fixes.

- Manage AI backlog with business stakeholders, translating needs into user stories and driving adoption.

Requirements

- 5-8 years of software development experience ideally, including 2+ years building/operating GenAI or LLM solutions in production.

- Strong Python and/or TypeScript, with solid CI/CD, IaC (Bicep/Terraform) and containerization (Docker) skills.

- Hands-on experience with Azure cloud (App Service, Functions, AKS), Azure OpenAI, Azure AI Foundry and REST API integrations.

- Practical experience with at least three GenAI patterns: conversational agents, agentic workflows, RAG, document intelligence, or AI-driven integrations.

- Experience taking over and stabilizing vendor-built codebases, plus backlog management with business stakeholders.

Nice to have

- Agentic frameworks (LangGraph, Microsoft Agent Framework, Pydantic AI).

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