About this role
Hands-on engineering role focused on designing, building, integrating, testing and operationalizing enterprise-grade LLM, GenAI and agentic AI components on Azure, including RAG pipelines, agents, retrieval workflows and safety controls. The role involves platform-specific engineering on Azure, collaborating with architects, data engineers, product owners and security stakeholders to deliver production-quality components and maintain technical artifacts.
Skills for this role
Microsoft Azure Data ServicesLarge Language Models (LLMs)Azure AI FoundryFoundry Agent ServiceAzure OpenAI modelsAzure AI SearchPrompt FlowAzure FunctionsLogic AppsAPI ManagementEvent GridMicrosoft FabricEntra IDKey VaultAzure MonitorApplication InsightsRAGFunction/tool callingAgent orchestrationModel invocationPrompt engineeringEmbeddingsVector databasesEvaluation metricsData ingestionParsingChunkingData enrichmentVector searchRetrieval pipelines""PII detection""Data redaction""Prompt-injection defenses