Remote AI DevOps Engineer for GenAI Solutions

IRIUM Portugal; Lisboa; Híbrido; EUR 50 000 - 78 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical insurance

Hybrid work

Flexible pay

Resumo da oferta

IRIUM is seeking a seasoned DevOps profile for an international project to lead structured handover of AI solutions from external vendors and ensure robust operational readiness.

You will review code, prompts, and architectures; produce runbooks and documentation; design AI features with Azure OpenAI, Copilot Studio, and related tools; and implement CI/CD, IaC, observability, and cost controls across the solution.

Qualificações

• 5–8 years of professional software development experience.
• 2+ years building or operating generative AI / LLM solutions in production.
• Breadth across GenAI solution types: conversational, agentic, RAG, document intelligence.
• Experience stabilizing vendor-built code bases and engaging stakeholders.

Responsabilidades

• Lead structured handover of AI solutions delivered by vendors across in-scope types.
• Review code, prompts, configurations, architecture; define remediation backlog.
• Produce/refresh runbooks, SOPs, and operational docs for live solutions.
• Design, develop, ship AI features using the authorized AI stack.
• Build and maintain CI/CD pipelines and IaC standards; drive observability and cost controls.
• Act as L3 support, investigate incidents, and maintain knowledge base.

Conhecimentos

Python

TypeScript

Azure cloud

LLM/GenAI

English communication

GitHub Actions

IaC (Bicep/Terraform)

CI/CD

Formação académica

Bachelor's or Master's in CS/SE

Ferramentas

Azure OpenAI

Azure AI Foundry

GitHub Actions

Azure DevOps

Docker

Descrição da oferta de emprego

IRIUM is seeking a seasoned DevOps profile for an international project to lead structured handover of AI solutions from external vendors and ensure robust operational readiness.

You will review code, prompts, and architectures; produce runbooks and documentation; design AI features with Azure OpenAI, Copilot Studio, and related tools; and implement CI/CD, IaC, observability, and cost controls across the solution.