R
Ryzlabs1mo ago

Full Stack AI Engineer (Azure)

ArgentinaArgentina·Buenos Aires,Buenos AiresRemoteFull Time - Contractmid
OtherFull Stack Ai EngineerObservability EngineerInfrastructure & Cloud
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Quick Summary

Overview

Remote position within Argentina & Uruguay RYZ Labs is seeking a highly skilled and experienced Full Stack AI Engineer to join our client’s team, focused on building and implementing enterprise-grade monitoring solutions across Azure environments.

Technical Tools
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Remote position within Argentina & Uruguay 
 
RYZ Labs is seeking a highly skilled and experienced Full Stack AI Engineer to join our client’s team, focused on building and implementing enterprise-grade monitoring solutions across Azure environments.

You’ll work across frontend, backend, cloud, and AI-enabled systems, collaborating closely with product, engineering, and cross-functional teams to develop scalable solutions, improve system reliability, and deliver high-quality user experiences.

The ideal candidate will work on a build-focused engagement, responsible for installing, configuring, and documenting Azure monitoring and observability solutions based on client-defined standards. This role requires strong hands-on experience with Azure services, a deep understanding of monitoring frameworks, and the ability to deliver high-quality, production-ready configurations and documentation.
 
  • 7+ years of experience as a Full Stack Engineer or Software Engineer
  • Strong proficiency in two or more of the following: JavaScript/TypeScript, Python, or C#/.NET
  • 5+ years of hands-on experience working with Azure, with a strong focus on monitoring and observability
  • Proven experience installing and configuring Azure Monitor, Log Analytics Workspaces, and Application Insights
  • Hands-on experience using AI coding tools such as Claude Code, Cursor, GitHub Copilot, or similar tools in professional workflows
  • Experience configuring Azure Lighthouse across multi-subscription and cross-tenant environments
  • Hands-on experience with Azure Managed Grafana and dashboard creation
  • Experience deploying infrastructure using ARM templates, Bicep, Terraform, or Azure Policy
  • Proficiency in scripting using PowerShell, Azure CLI, or Python for automation tasks
  • Experience working with incident management and RCA tooling within defined processes
  • Strong documentation skills, with the ability to deliver clear runbooks and handoff materials
  • Ability to work within defined requirements, without ownership of ongoing operations or support
  •  
  • Experience with AI development workflows, prompt engineering, or AI-assisted coding practices
  • Familiarity with Model Context Protocol (MCP) and AI agent integrations
  • Exposure to Azure AI Foundry, LangChain, RAG workflows, or graph-based AI technologies
  • Experience with infrastructure-as-code and modern DevOps practices
  • Experience mentoring engineers and contributing to architectural decisions
  • Exposure to FinOps tools and Azure Cost Management
  • Interest in emerging AI development tools and intelligent engineering workflows
  • Experience configuring AI-driven monitoring solutions (e.g., anomaly detection, Azure AI services)
  • Develop and maintain full stack applications and services using modern frontend frameworks and backend technologies
  • Design, build, and deliver scalable, high-performance features and systems across web applications and distributed architectures
  • Install and configure Azure Monitor, Log Analytics Workspaces, and Application Insights across multiple Azure resource types
  • Configure alerts, action groups, and intelligent alerting pipelines based on approved thresholds
  • Implement Azure Lighthouse configurations for cross-subscription and cross-tenant observability
  • Set up incident management tooling, alert pipelines, escalation flows, and RCA frameworks as defined by the client
  • Build automated remediation workflows using Azure Automation and Logic Apps
  • Configure AI-driven monitoring solutions, including anomaly detection and dynamic metrics dashboards
  • Develop and deliver comprehensive documentation, including configuration guides and runbooks
  • Conduct knowledge transfer sessions to enable the client team to operate all deployed solutions
  • Location & Eligibility

    Where is the job
    Buenos Aires, Argentina
    Remote within one country
    Who can apply
    AR

    Listing Details

    Posted
    April 23, 2026
    First seen
    April 25, 2026
    Last seen
    May 25, 2026

    Posting Health

    Days active
    29
    Repost count
    0
    Trust Level
    32%
    Scored at
    May 24, 2026

    Signal breakdown

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    R
    Full Stack AI Engineer (Azure)