Azure Open AI Engineer

Mandatory Hands-On Requirements (All Required) Candidates must demonstrate hands-on experience with: Python backend development (FastAPI / Flask) LLM integration using OpenAI APIs RAG pipelines (embeddings, retrieval, response orchestration) Azure AI Foundry (deployment, configuration, operations) Infrastructure as Code (Terraform, Bicep, ARM - authored by candidate) Azure deployments (App Service, Containers, Functions, AKS) CI/CD pipelines (GitHub Actions, Azure DevOps) Production monitoring, logging, and reliability practices Working in environments with security, privacy, and governance constraints Key Responsibilities Build Python APIs integrating Azure OpenAI models Design and operate LLM and RAG pipelines in production Deploy and manage Azure infrastructure using IaC Operate AI workloads within Azure AI Foundry Support Docker/AKS-based deployments Partner with DevOps and security teams on CI/CD and hardening Contribute to LLM evaluation frameworks (accuracy, safety, robustness) Advise stakeholders on prompt design, model selection, and architecture tradeoffs