AI Full Stack Engineer

Job Title: AI Full Stack Engineer Azure

Location: Bengaluru

Experience:312 years

Mandatory Skills: Azure, React/Next.js, Python/Node.js/.NET, LLMs, Generative AI

Job Summary

We are seeking a highly skilled AI Full Stack Engineer with strong experience in building end-to-end AI-powered applications on Microsoft Azure. The ideal candidate will design and develop scalable AI applications, integrate Large Language Models (LLMs), build modern front-end interfaces, and develop robust backend services and cloud-native architectures.

You will work on cutting-edge Generative AI solutions, including chatbots, copilots, RAG-based systems, and intelligent dashboards.

Key Responsibilities

1. End-to-End AI Application Development

• Design and develop full-stack AI applications from UI to backend to AI services
• Build interactive user interfaces for AI-driven applications such as chatbots, copilots, and dashboards
• Develop scalable backend APIs to integrate AI models and services
• Ensure high performance, responsiveness, and scalability of applications

2. Generative AI & LLM Integration

• Integrate Large Language Models using Azure OpenAI Service
• Design and implement Retrieval-Augmented Generation (RAG) pipelines
• Develop agent-based workflows using frameworks like LangChain or Semantic Kernel
• Apply prompt engineering techniques, context optimization, and response tuning

3. Backend Development & API Engineering

• Build and maintain RESTful APIs using FastAPI / Node.js / .NET
• Design microservices architecture for AI-powered systems
• Implement authentication, authorization, and API security best practices
• Manage seamless data flow between frontend, backend, and AI services

4. Frontend Development (AI Interfaces)

• Develop modern web applications using React / Next.js
• Build intuitive AI interfaces including:
• ChatGPT-like conversational UIs
• AI dashboards and visualization tools
• Ensure smooth and engaging user experience for AI-driven interactions

5. Cloud-Native Development on Microsoft Azure

• Deploy and manage applications using Azure App Service, Azure Functions, and Containers
• Work with Azure Kubernetes Service (AKS) for scalable deployments
• Manage data storage using Azure Blob Storage, Cosmos DB, and Azure SQL
• Implement event-driven and serverless architectures

6. Data & AI Pipeline Integration

• Design and build data pipelines for ingestion, preprocessing, and embedding generation
• Integrate and manage vector databases such as Azure AI Search or other vector stores
• Handle both structured and unstructured data sources for AI applications

Technical Skills Required

Frontend

• React.js / Next.js
• HTML, CSS, JavaScript / TypeScript

Backend

• Python (FastAPI) / Node.js / .NET
• REST API development and microservices

AI / ML

• Large Language Models (LLMs)
• Generative AI, embeddings, prompt engineering
• Experience with Azure OpenAI or similar platforms
• RAG architecture implementation

Cloud

• Microsoft Azure (App Services, Functions, AKS, Storage, Cosmos DB)
• Basic DevOps knowledge (CI/CD, Docker preferred)

Preferred Qualifications

• Experience building production-grade AI applications
• Familiarity with agentic AI frameworks (LangChain / Semantic Kernel)
• Understanding of vector databases and semantic search
• Experience in scalable distributed systems

Soft Skills

• Strong problem-solving and analytical skills
• Ability to work in fast-paced AI-driven environments
• Good communication and collaboration skills
• Ownership mindset and ability to work independently