Senior Azure GenAI Backend Engineer – Remote (RAG & Serverless)

About the role

Our client, a consulting firm, is looking for a Senior Azure GenAI Backend Engineer to design and deliver production‑grade Generative AI solutions. The position is remote and initially spans six months, with the possibility of extension. You will work on Retrieval‑Augmented Generation (RAG) architectures and Azure‑native serverless services.

Key responsibilities

• Design and implement RAG‑based solutions using Azure OpenAI and Azure AI Search.
• Develop backend APIs and micro‑services in Python, Java or Node.js to support GenAI applications.
• Architect, deploy and manage serverless components such as Azure Functions, Logic Apps, Container Apps and App Services.
• Build scalable data pipelines for indexing, embedding and retrieval workflows.
• Create CI/CD pipelines with Azure DevOps or GitHub Actions and apply Infrastructure‑as‑Code using Terraform or Bicep.
• Collaborate with frontend, data and AI teams to deliver end‑to‑end solutions while ensuring security, governance and compliance.

Required profile

• Hands‑on experience building production RAG solutions and a solid understanding of LLMs, embeddings, vector search and prompt engineering.
• Deep knowledge of Azure AI services, serverless architectures and Azure networking/identity management.
• Strong system design capabilities and experience in regulated or compliance‑focused environments.
• Consulting mindset with the ability to work across multidisciplinary teams.

Required skills

• Azure OpenAI, Azure AI Search
• Azure Functions, Azure Container Apps, Azure App Services, Azure Storage, Azure Key Vault
• Python, Java, Node.js
• REST API development, micro‑services
• Azure DevOps, GitHub Actions, CI/CD pipelines
• Terraform, Bicep
• Docker, Kubernetes (optional)
• AWS exposure (nice to have)