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.