AI/ML/Gen AI Engineer

Architect and implement cloud-native AI platforms using Azure. Build and manage agent orchestration services (multi-agent workflows, tool invocation, state management). Knowledge in MCP, A2A and other new protocols Deploy and manage LLM integrations (Azure OpenAI, embeddings, fine-tuned models). Implement RAG pipelines using Azure AI Search, vector databases, and storage. Design secure APIs, authentication, authorization, and secrets management. Support observability: logging, tracing, metrics, and AI performance dashboards. 7-8 years in Cloud / Platform Engineering with strong AI system exposure. Deep expertise in Azure (Functions, App Services, Document Intelligence, AI Search, OpenAI). Strong understanding of LLMs, embeddings, RAG, agentic architectures. Proficiency in Python, C#, or Node.js. Experience with infrastructure-as-code (Bicep, Terraform). Strong DevOps and security mindset. Experience with LangGraph, Semantic Kernel, AutoGen, or similar agent frameworks. Knowledge of compliance and data governance for AI systems.