6–10 years of experience in production Azure environments.
Strong 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.
Strong 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.
#J-*****-Ljbffr

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