Azure GenAI Backend Engineer- India (RAG & Serverless Focus)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Azure GenAI Backend Engineer- India (RAG & Serverless Focus) based in India.

This is an exciting opportunity for a senior backend engineer to design and deliver enterprise-grade Generative AI solutions using modern Azure cloud technologies. In this role, you will build scalable AI systems focused on Retrieval-Augmented Generation (RAG), serverless architectures, and secure backend services. You will work at the intersection of cloud engineering, artificial intelligence, and software architecture to create production-ready solutions with real business impact. Collaborating with cross-functional teams, you will help shape AI-powered applications through strong engineering practices, automation, and scalable design. This role is ideal for professionals passionate about LLM technologies, cloud-native development, and building the next generation of intelligent systems.

• Design and implement production-ready RAG architectures using Azure OpenAI, Azure AI Search, and related Generative AI technologies.
• Develop robust backend APIs and services that support scalable AI-powered applications.
• Architect, deploy, and optimize Azure serverless solutions using technologies such as Azure Functions, Logic Apps, and Container Apps.
• Build and maintain scalable data pipelines supporting indexing, embedding generation, and retrieval workflows.
• Design secure and reliable system architectures focused on performance, scalability, availability, and maintainability.
• Implement CI/CD pipelines for AI applications using Azure DevOps or GitHub Actions to improve deployment efficiency.
• Apply Infrastructure as Code practices using Terraform or Bicep to automate cloud infrastructure management.
• Collaborate with frontend developers, data engineers, AI specialists, and stakeholders to deliver complete Generative AI solutions.
• Ensure security, governance, compliance, and best practices are integrated throughout the development lifecycle.

Requirements

• Proven experience designing and deploying production-grade Retrieval-Augmented Generation (RAG) solutions.
• Strong understanding of Large Language Models (LLMs), embeddings, vector databases/search, prompt engineering, and AI application architectures.
• Hands-on experience with Azure AI services, including Azure OpenAI and Azure AI Search.
• Experience designing and implementing serverless architectures using Azure Functions, Azure Container Apps, and Azure App Services.
• Strong knowledge of Azure Storage, Key Vault, networking, identity management, and cloud security principles.
• Strong backend development skills with proficiency in Python, Java, or Node.js.
• Experience building REST APIs, microservices, and scalable backend systems.
• Solid understanding of CI/CD practices, including Azure DevOps or GitHub Actions.
• Experience with Docker, Kubernetes, Terraform, or Bicep is highly valuable.
• Familiarity with agentic AI workflows, AWS services, consulting environments, or deploying AI systems in regulated industries is a plus.
• Strong system design, problem-solving, communication, and collaboration skills.

Benefits

• Remote opportunity for candidates based in India.
• Opportunity to work on advanced Generative AI and cloud-native engineering projects.
• Exposure to enterprise-scale AI solutions using leading Azure technologies.
• Work on innovative architectures involving RAG, LLMs, automation, and serverless platforms.
• Collaborate with experienced technology professionals across AI, cloud, and software engineering disciplines.
• Opportunity to contribute to secure, scalable, and production-ready AI systems.
• Continuous learning and professional growth opportunities in a rapidly evolving technology field.