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.
Accountabilities
- 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.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
#LI-CL1
