6–10 years of experience in production Azure environments.
Strong hands-on experience withPythonand scripting.
Expertise inAgentic AI frameworkssuch asLangChain, LangGraph, Semantic Kernelor similar.
Experience buildingRAG pipelines, multi-agent workflows, and LLM-powered applications.
Strong knowledge ofTerraformand Infrastructure as Code.
Hands-on experience withGitHub Actionsfor CI/CD.
Experience with Azure PaaS services includingAzure OpenAI, AI Foundry, App Services, Container Apps/AKS, APIM, Azure Functions, Storage, Monitor, and Application Insights.
Experience withAzure Cosmos DB (MongoDB API preferred)and vector databases.
Solid understanding ofPrivate Endpoints, Private DNS, Zero-Trust networking, andsecretless authentication using Entra ID and Managed Identities.




Experience implementing enterprise observability usingAzure Monitor, Application Insights, OpenTelemetry, Prometheus, Grafana, LangSmith, or similar tools.
Experience withAI/LLM Gateway patterns, model routing, and integration with OpenAI/Azure OpenAI services.
Preferred
Experience withLlamaIndex, 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.
#J-*****-Ljbffr

📌 Agentic Ai Engineer – Tech Lead (New South Wales)
🏢 Tech Aalto
📍 New South Wales