As an AI Full Stack Developer, you will help design, develop, and deploy end-to-end AI-powered web applications that combine modern frontend experiences with scalable backend services and intelligent AI capabilities. You will leverage your expertise in full stack development, cloud technologies, APIs, databases, and Generative AI to build production-ready applications that solve real-world business challenges.

Your responsibilities may include developing responsive user interfaces, building scalable backend APIs, integrating Large Language Models (LLMs), implementing Retrieval-Augmented Generation (RAG) systems, developing AI-powered workflows, deploying full stack applications, optimizing application performance, and collaborating with AI engineers, designers, and product teams to deliver high-quality software solutions. Responsibilities

Design, develop, and maintain modern full stack web applications powered by AI. Build responsive and user-friendly frontend interfaces using modern JavaScript frameworks. Develop secure, scalable, and high-performance backend APIs and microservices.

Integrate Large Language

Models (LLMs) and Generative AI capabilities into applications. Develop AI-powered features such as chatbots, assistants, document processing, and intelligent search.

Build

Retrieval-Augmented Generation (RAG) systems using vector databases. Design and manage relational and NoSQL databases for AI applications. Integrate third-party APIs, authentication systems, and cloud services.

Optimize application performance, scalability, and security across the entire technology stack. Deploy, monitor, and maintain production applications using modern cloud infrastructure. Collaborate with UI/UX designers, AI engineers,



and product managers throughout the development lifecycle.

Follow software engineering best practices, maintain documentation, and continuously learn emerging technologies. Requirements

Bachelor's degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, or a related field. Strong understanding of frontend and backend software development. Good analytical and problem-solving skills.

Proficiency in JavaScript or TypeScript programming. Basic understanding of AI, Machine Learning, and Generative AI concepts. Familiarity with REST APIs, databases, and authentication mechanisms. Understanding of software architecture and modern web development practices.

Excellent written and verbal communication skills. Ability to learn quickly and work effectively in a cooperative environment. Prior internship, academic projects, or full stack development experience is preferred but not mandatory.

Preferred

Qualifications

Experience with React, Next.js, Vue.js, Angular, or similar frontend frameworks.

Experience with Node.js, Express.js, NestJS, FastAPI, Django, or similar backend technologies. Familiarity with Python for AI application development.

Experience integrating OpenAI, Claude, Gemini, or other LLM APIs. Knowledge of Prompt Engineering, AI Agents, and Retrieval-Augmented Generation (RAG).

Experience with vector databases such as Pinecone, FAISS, Weaviate, ChromaDB,



or Qdrant. Familiarity with SQL and NoSQL databases including PostgreSQL, MySQL, MongoDB, or Redis.

Experience with Docker, Git, GitHub Actions, and CI/CD pipelines. Exposure to AWS, Microsoft Azure, or Google Cloud Platform. Strong understanding of authentication, security, and scalable application architecture. Skills

Full Stack Development JavaScript TypeScript React Next.js Node.js Express.js Python REST APIs SQL MongoDB PostgreSQL Artificial Intelligence Machine Learning Large Language Models (LLMs) Generative AI Prompt Engineering LangChain LangGraph AI Agents Retrieval-Augmented Generation (RAG) Vector Databases Docker Git & Version Control AWS Azure Google Cloud CI/CD Problem Solving Team Collaboration Communication Skills Compensation

Projects are compensated based on complexity and duration, with earnings ranging from ₹150/hour to ₹800/hour. What You'll Gain

Build production-grade AI-powered web applications used by businesses and enterprise customers. Gain hands-on experience with Generative AI, Large Language Models (LLMs), AI Agents, and Retrieval-Augmented Generation (RAG). Learn modern frontend, backend, cloud, and AI application development using industry-leading technologies.

Work alongside experienced software engineers, AI engineers, product designers, and cloud architects. Develop expertise in scalable full stack architecture, AI integrations, cloud deployment, and modern software engineering practices. Build a strong foundation for career growth in AI Full Stack Development, Software Engineering, AI Engineering, Platform Engineering, Generative AI Development, Technical Architecture, or Engineering Leadership.

📌 AI Full Stack Developer (Bengaluru)
🏢 Data Eminence
📍 Bengaluru