6–10 years of experience in production Azure environments.
Solid 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 New South Wales
🏢 Tech Aalto
📍 New South Wales