Full Stack Developer – Node.js, React, TypeScript & Generative AI

₹20L – ₹24L Bengaluru (Hybrid) | Full-time, Permanent | 1–4 Years 2 years of exp Full Time Posted: today • Recruiter recently active About the job About the Role We are looking for a motivated Full Stack Developer to join our engineering team in Bengaluru and build scalable, production-ready applications. You will work across frontend, backend, cloud, and AI-powered solutions, developing features from concept to deployment.

This role is ideal for engineers who enjoy solving real-world problems, writing clean code, and exploring Generative AI, LLMs, and intelligent agent-based applications. Key Responsibilities Develop scalable REST APIs and backend services using Node.js and Express.js. Build responsive, accessible, and user-friendly interfaces using React.js and TypeScript. Deliver end-to-end features, covering database design, backend logic, and frontend development.

Design and optimise queries across MongoDB and relational databases such as PostgreSQL and MySQL. Implement real-time communication using WebSockets or Socket.IO. Integrate third-party APIs, LLM services, and AI-powered capabilities into applications. Develop AI features using prompt engineering, embeddings, Retrieval-Augmented Generation (RAG), vector search, and tool calling. Build AI agents and multi-agent workflows using Python and suitable frameworks.

Develop supporting backend services using Python and FastAPI. Write maintainable, testable code and perform unit and integration testing. Troubleshoot issues, improve application performance, and follow security best practices. Collaborate with product, design, QA, and DevOps teams throughout the software development lifecycle. Participate in code reviews, sprint planning, CI/CD, deployment, and application monitoring.

Must-Have Skills Frontend Development Strong hands-on experience with React.js and TypeScript. Understanding of state management, client-side routing, and server-state management. Experience with API integration, HTTP clients, and component libraries. Ability to develop responsive, accessible, and maintainable user interfaces. Backend Development Good knowledge of Node.js and Express.js. Experience with MongoDB and SQL databases such as PostgreSQL or MySQL.

Understanding of REST API design, authentication, authorisation, and application security. Familiarity with WebSockets or other real-time communication technologies. Working knowledge of Python and/or FastAPI. Generative AI & Cloud Experience integrating LLM APIs and building AI-powered application features. Understanding of prompt engineering, embeddings, RAG, vector search, and tool calling.

Familiarity with AI agent frameworks or agent development tools. Basic knowledge of AWS services such as EC2, S3, or Lambda. Engineering Fundamentals Experience with unit testing, integration testing, Git, and collaborative code reviews. Strong problem-solving skills and an understanding of software engineering fundamentals. Good-to-Have Skills Exposure to Microsoft Azure or Google Cloud Platform (GCP).

Experience with Docker, containerisation, and CI/CD pipelines. Familiarity with vector databases and advanced RAG techniques, including hybrid search, reranking, metadata filtering, or Graph RAG. Exposure to Model Context Protocol (MCP), agent orchestration, or multi-agent systems. Knowledge of Redis, caching strategies, API documentation, and application monitoring. Familiarity with Agile/Scrum development practices.

Eligibility Criteria B.Tech, B.E., M.Tech, or equivalent degree in Computer Science, Information Technology, or a related field. 1–4 years of professional experience in full stack development. Experience delivering at least one full stack feature or application to production. Understanding of design patterns, debugging, performance optimisation, and basic system design. Practical knowledge of Generative AI and its application in real-world software products.

Why Join Us? Work on modern full stack applications and AI-driven product capabilities. Gain hands-on experience with cloud technologies and emerging AI frameworks. Collaborate with experienced engineers and contribute to end-to-end product development. Build solutions that combine strong engineering practices with practical AI innovation.