Senior Developer

Job Title: Full Stack Developer (Node.js + React.js + AI/LLM) 5+ Years (Noida) Develop and maintain scalable backend services using Node.js Build responsive and dynamic user interfaces using React.js Design and manage MongoDB databases and schemas Develop RESTful APIs and ensure high performance and responsiveness Integrate AI/ML models including LLMs and RAG-based architectures into applications Optimize application performance and improve system scalability Handle server deployment, monitoring, and maintenance Collaborate with cross-functional teams (QA, DevOps, Product) Write clean, maintainable, and efficient code Strong proficiency in Node.js and backend frameworks (Express/NestJS) Solid experience with React.js (Hooks, State Management) Handson experience with MongoDB (aggregation, indexing, optimization) Experience with REST APIs and microservices architecture Knowledge of authentication (JWT, OAuth) Understanding of Large Language Models (LLMs) Experience with RAG (Retrieval-Augmented Generation) architecture Familiarity with OpenAI APIs or similar AI platforms Prompt engineering and AI integration in applications Experience with server deployment (AWS, Azure, or similar) Knowledge of Docker, CI/CD pipelines Basic understanding of system design and scalability Monitoring and logging tools Good to Have Experience with TypeScript Knowledge of GraphQL Familiarity with vector databases (Pinecone, Weaviate, etc.) Experience with WebSockets or real-time systems Exposure to cloud-native architecture Strong problemsolving skills Good communication and collaboration Ability to work independently and in a team Quick learner and adaptable to new technologies Job Title: Full Stack Developer (Node.js + React.js + AI/LLM) 5+ Years (Noida) Develop and maintain scalable backend services using Node.js Build responsive and dynamic user interfaces using React.js Design and manage MongoDB databases and schemas Develop RESTful APIs and ensure high performance and responsiveness Integrate AI/ML models including LLMs and RAG-based architectures into applications Optimize application performance and improve system scalability Handle server deployment, monitoring, and maintenance Collaborate with cross-functional teams (QA, DevOps, Product) Write clean, maintainable, and efficient code Strong proficiency in Node.js and backend frameworks (Express/NestJS) Solid experience with React.js (Hooks, State Management) Handson experience with MongoDB (aggregation, indexing, optimization) Experience with REST APIs and microservices architecture Knowledge of authentication (JWT, OAuth) Understanding of Large Language Models (LLMs) Experience with RAG (Retrieval-Augmented Generation) architecture Familiarity with OpenAI APIs or similar AI platforms Prompt engineering and AI integration in applications Experience with server deployment (AWS, Azure, or similar) Knowledge of Docker, CI/CD pipelines Basic understanding of system design and scalability Monitoring and logging tools Good to Have Experience with TypeScript Knowledge of GraphQL Familiarity with vector databases (Pinecone, Weaviate, etc.) Experience with WebSockets or real-time systems Exposure to cloud-native architecture Strong problemsolving skills Good communication and collaboration Ability to work independently and in a team Quick learner and adaptable to new technologies