Azure AI Engineer

Role Overview Vurke is seeking Azure AI Engineers capable of designing, developing and deploying production-grade AI solutions within the Microsoft Azure ecosystem. Key Responsibilities Build enterprise AI applications using Microsoft Azure AI services. Develop generative AI and machine-learning solutions. Build RAG-based applications and enterprise knowledge assistants. Integrate AI models with business applications and data sources. Implement Azure AI Search and retrieval solutions. Develop APIs and backend services supporting AI applications. Implement identity, security, monitoring and logging. Evaluate model quality, accuracy, latency and cost. Deploy AI applications into production Azure environments. Work with client architects and engineering teams. Produce architecture and technical documentation. Required Skills Microsoft Azure. Azure AI services / Azure AI Foundry. Python. REST APIs. LLM and generative-AI fundamentals. Prompt engineering. Embeddings and vector search. RAG architectures. Azure AI Search. Azure Functions or equivalent serverless services. Git and CI/CD. Azure security and identity fundamentals. Preferred Azure OpenAI. Agentic AI. Semantic Kernel. Microsoft Copilot ecosystem. Containers/Docker. Azure DevOps. AI evaluation and observability. Microsoft Azure AI certifications.