Full Stack AI Engineer (Azure)
Team: Engineering
Location: Buenos Aires
Commitment: Full Time - Contract
Workplace Type: remote
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.
Basic Qualifications:
- 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
Preferred Qualifications:
- 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)
Key Responsibilities:
- 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
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