6–10 years of experience in production Azure environments.
Robust hands-on experience with Python and scripting.
Expertise in Agentic AI frameworks such as LangChain, LangGraph, Semantic Kernel or similar.
Experience building RAG pipelines, multi-agent workflows, and LLM-powered applications .
Robust knowledge of Terraform and Infrastructure as Code.
Hands-on experience with GitHub Actions for CI/CD.
Experience with Azure PaaS services including Azure OpenAI, AI Foundry, App Services, Container Apps/AKS, APIM, Azure Functions, Storage, Monitor, and Application Insights .
Experience with Azure Cosmos DB (MongoDB API preferred) and vector databases.
Solid understanding of Private Endpoints, Private DNS, Zero-Trust networking , and secretless authentication using Entra ID and Managed Identities .




Experience implementing enterprise observability using Azure Monitor, Application Insights, OpenTelemetry, Prometheus, Grafana, LangSmith , or similar tools.
Experience with AI/LLM Gateway patterns , model routing, and integration with OpenAI/Azure OpenAI services.

Preferred
Experience with LlamaIndex, CrewAI, AutoGen, Databricks, MLflow, AKS, and Kubernetes .
Exposure to Anthropic Claude, Gemini, or other foundation models.
Previous experience leading AI engineering teams and delivering production-grade Agentic AI solutions.

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.
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📌 Agentic Ai Engineer – Tech Lead City Of Sydney
🏢 Tech Aalto
📍 City of Sydney