Senior Azure GenAI Backend Engineer – RAG & Serverless Focus

This is a fully remote position, open to applicants in India.

📋 Description

• Design and create RAG-based architectures utilizing Azure OpenAI and Azure AI Search.

• Develop backend APIs and services to support GenAI applications.

• Architect and deploy serverless solutions on Azure (Azure Functions, Logic Apps, Container Apps).

• Construct scalable data pipelines for indexing, embedding, and retrieval processes.

• Implement CI/CD pipelines for AI systems leveraging Azure DevOps or GitHub Actions.

• Define and execute system architecture to ensure performance, scalability, and high availability.

• Utilize infrastructure as code with Terraform or Bicep.

• Collaborate with frontend, data, and AI teams to deliver comprehensive GenAI solutions.

• Uphold security, governance, and compliance best practices.

⛳️ Requirements

• Core knowledge of GenAI and Architecture.

• Practical experience in building RAG solutions in a production environment.

• Strong grasp of LLMs, embeddings, vector search, and prompt engineering.

• Experience with Azure AI Search and Azure OpenAI.

• Familiarity with agentic workflows (preferred).

• Extensive experience with Azure Functions, Azure Container Apps, Azure App Services, Azure Storage, and Key Vault.

• Solid understanding of Azure networking and identity management.

• Experience in designing serverless architectures.

• Strong proficiency in Python, Java, or Node.js.

• REST API development and microservices expertise.

• Strong system design skills.

• Experience with DevOps CI/CD pipelines (Azure DevOps / GitHub Actions).

• Knowledge of Docker and Kubernetes (good to have).

• Proficiency in Infrastructure as Code (Terraform / Bicep).

• AWS exposure is a plus.

• Consulting experience is advantageous.

• Experience in deploying AI systems within regulated environments.

🏝️ Benefits

• Engagement Type: 6 Months contract (with the possibility of extension).