Full Stack Developer – AI/LLM/RAG

WritingJob Description: Full Stack Developer – AI/LLM/RAGJob Summary

We are looking for a skilled Full Stack Developer with 2–4 years of experience in frontend and backend development and practical exposure to Artificial Intelligence, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).

The ideal candidate will be responsible for developing scalable web applications, building backend services and REST APIs, integrating databases and third-party services, and implementing AI-powered features for SaaS and enterprise applications.

The candidate should have strong programming skills, experience with modern web technologies, and the ability to integrate AI capabilities into production-ready applications.

Key Responsibilities

• Develop responsive, scalable, and high-performance web applications using React.js and Next.js.
• Build backend services, REST APIs, and application modules using Node.js/Express.js or Python with FastAPI, Django, or Flask.
• Design, develop, and optimize database schemas, queries, and integrations using MongoDB, MySQL, or PostgreSQL.
• Integrate LLM APIs to build AI assistants, chatbots, intelligent search, content generation, summarization, and document-analysis features.
• Develop RAG pipelines involving document ingestion, parsing, chunking, embeddings, retrieval, and context-aware response generation.
• Work with vector databases such as Pinecone, Qdrant, Weaviate, Chroma, or FAISS.
• Implement prompt engineering, structured LLM outputs, streaming responses, context management, and error handling.
• Develop secure authentication and authorization mechanisms and implement API validation, logging, and access controls.
• Optimize application performance, API response times, database queries, and AI response latency.
• Write unit and integration tests, troubleshoot technical issues, and maintain code quality.
• Collaborate with product managers, UI/UX designers, AI/ML engineers, QA engineers, and DevOps teams.
• Use Git-based development workflows, participate in code reviews, and support application deployment and maintenance.

Required Technical Skills

Frontend Development

• React.js and Next.js
• JavaScript and TypeScript
• HTML5 and CSS3
• Responsive web development
• REST API integration

Backend Development

• Node.js and Express.js, or Python with FastAPI, Django, or Flask
• REST API development and integration
• Authentication and authorization
• Backend business logic and asynchronous programming
• API validation, error handling, and security

AI and LLM Integration

• Generative AI fundamentals
• LLM API integration
• Prompt engineering
• Context management and structured outputs
• Streaming responses and AI application development

Retrieval-Augmented Generation (RAG)

• Document processing and ingestion
• Text chunking and embeddings
• Semantic search and vector retrieval
• RAG pipeline development
• Vector database integration
• Knowledge-base and document intelligence solutions

Database Management

• MongoDB and/or MySQL/PostgreSQL
• Database design and schema management
• Query optimization and indexing
• CRUD operations and data validation

Development Tools

• Git, GitHub, or GitLab
• Postman
• Basic Docker knowledge
• Debugging and testing tools

Preferred Skills

• LangChain, LangGraph, or equivalent AI frameworks
• AI agents and function calling
• Redis and WebSockets
• Cloud platforms such as AWS, Azure, or Google Cloud
• CI/CD pipelines and microservices
• Multi-tenant SaaS architecture
• Experience deploying AI-powered applications in production

Candidate Requirements

• 2–4 years of relevant experience in full-stack development.
• Practical experience building and maintaining web applications and REST APIs.
• Strong understanding of frontend and backend development principles.
• Hands-on exposure to LLM integrations, Generative AI, or RAG-based applications.
• Knowledge of databases, application security, testing, and debugging.
• Ability to troubleshoot technical issues and develop maintainable solutions.
• Strong analytical thinking, problem-solving, communication, and teamwork skills.
• Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field preferred; equivalent practical experience may also be considered.

Key Performance Expectations

• Deliver production-ready full-stack features and application modules.
• Build secure, scalable, and reliable backend APIs.
• Develop maintainable frontend and backend components.
• Integrate AI and LLM capabilities into real-world applications.
• Build and maintain effective RAG pipelines and retrieval workflows.
• Maintain application security, performance, and reliability.
• Participate actively in code reviews and technical discussions.
• Meet project deadlines and contribute to continuous product improvement.

Pay: ₹800,000.00 - ₹1,200,000.00 per year

Work Location: In person