About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

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Job Description: Frontend Developer with AI

React/Angular | TypeScript | JavaScript | UI UX Designing | Python APIs | LLMs | MCP | RAG

Role Overview

We are looking for a Frontend Developer with AI who can build scalable, responsive, and high-performance user interfaces while integrating AI capabilities. Strong expertise in React.js/Angular, TypeScript, JavaScript, Python and NodeJS, LLM integrations, RAG systems, and MCP workflows is required.

Candidate must be able to design wireframes, prototypes, and user flows using Figma with foundational UI/UX understanding.

Experience Required

• 6-8 years of hands-on experience in frontend, Python and NodeJS application development.

• Strong production experience with React.js/Angular, JavaScript/TypeScript, API integration, responsive UI development, Git and Agile delivery.

• Experience with Figma for UI/UX wireframing, prototyping, and interface design.

• Exposure to AI-driven application development using LLMs, prompt engineering, RAG pipelines, and AI workflow integrations.

Key Responsibilities

• Design, develop, and maintain scalable customer-facing web applications using React.js/Angular, TypeScript, and JavaScript.

• Create UI/UX layouts, wireframes, and prototypes using Figma.

• Integrate frontend with REST, GraphQL, WebSocket, and Python-based backends (FastAPI, Flask, Django).

• Develop AI-powered user experiences such as chat interfaces, intelligent search, content generation.

• Work with LLMs, prompt engineering, RAG systems, LangChain, LangGraph, FAISS.

• Integrate applications with Model Context Protocol (MCP) servers/tools.

• Implement secure authentication using JWT, OAuth2.

• Support production releases, troubleshoot issues, optimize performance.

• Write clean, maintainable, testable code adhering to best practices.

AI-Specific Expectations

• Build frontend experiences for LLM-powered applications, including chatbots, AI assistants, document Q&A, intelligent search, and content generation.

• Collaborate on RAG architecture by integrating UI workflows with retrieval APIs, vector stores, embeddings, and response-generation services.

• Create intuitive UI/UX for AI response streaming, prompt input, feedback capture, and human-in-the-loop review.

• Use MCP-based integrations to connect AI workflows with tools, databases, internal applications, or third-party systems.

• Ensure AI features are secure, reliable, explainable to users, and optimized for latency and usability.

Required Technical Skills

Soft Skills

• Strong communication and collaboration skills.

• Ability to design and communicate UI/UX decisions clearly.

• Problem-solving mindset with attention to detail.

• Ability to work in fast-paced Agile teams.

• Leadership, ownership, adaptability, time management, and conflict-resolution skills.