Senior Full Stack Developer

As a hands-on Full Stack Developer with strong backend and AI integration expertise, your primary focus will be on designing and developing scalable backend systems using Node.js. You will be responsible for building RESTful and GraphQL APIs, architecting microservices-based or modular backend systems, designing database schemas, and optimizing queries using PostgreSQL or MongoDB. Additionally, you will implement authentication, authorization, and role-based access while ensuring system scalability, performance, and security. Your role will also involve integrating AI/ML services using Python, working with LLM APIs like OpenAI and Anthropic, and building AI pipelines for prompt engineering, AI inference workflows, vector databases such as Pinecone and Weaviate, as well as embedding & retrieval systems like RAG. You will be responsible for implementing conversational workflows, automation logic, and optimizing token usage for AI performance. In terms of frontend development, you will develop dynamic UI using React.js, build dashboards, workflow builders, and campaign modules, integrate real-time updates via WebSockets, and create responsive and intuitive product interfaces. As part of product development ownership, you will translate product requirements into scalable technical architecture, collaborate with product managers to define technical feasibility, build MVPs and production-ready systems, optimize deployment pipelines using CI/CD, and write clean, maintainable, and testable code. **Key Responsibilities:** - **Backend & Architecture (Primary Focus)** - Design and develop scalable backend systems using Node.js - Build RESTful and GraphQL APIs - Architect microservices-based or modular backend systems - Design database schemas and optimize queries (PostgreSQL / MongoDB) - Implement authentication, authorization, and role-based access - Ensure system scalability, performance, and security - **AI & Python Integration** - Integrate AI/ML services using Python - Work with LLM APIs (OpenAI, Anthropic, etc.) - Build AI pipelines for prompt engineering, AI inference workflows, vector databases, embedding & retrieval systems - Implement conversational workflows & automation logic - Optimize token usage and AI performance - **Frontend Development** - Develop dynamic UI using React.js - Build dashboards, workflow builders, campaign modules - Integrate real-time updates via WebSockets - Create responsive and intuitive product interfaces - **Product Development Ownership** - Translate product requirements into scalable technical architecture - Work closely with product managers to define technical feasibility - Build MVPs and production-ready systems - Optimize deployment pipelines (CI/CD) - Write clean, maintainable, testable code **Technical Skills Required:** - **Backend (Strong Expertise Required)** - Node.js (5+ years hands-on) - REST APIs & Microservices - PostgreSQL / MongoDB - Redis / Caching mechanisms - Authentication (JWT, OAuth) - **AI & Python** - Python (FastAPI / Flask preferred) - LLM integration experience - Prompt engineering understanding - Experience with Vector DB, RAG systems, Embeddings, AI agents, Async AI pipelines - **Frontend** - React.js - State management (Redux / Zustand / Context) - API integration - Performance optimization - **DevOps & Infrastructure** - AWS / GCP - Docker - CI/CD pipelines - Monitoring & logging tools As a hands-on Full Stack Developer with strong backend and AI integration expertise, your primary focus will be on designing and developing scalable backend systems using Node.js. You will be responsible for building RESTful and GraphQL APIs, architecting microservices-based or modular backend systems, designing database schemas, and optimizing queries using PostgreSQL or MongoDB. Additionally, you will implement authentication, authorization, and role-based access while ensuring system scalability, performance, and security. Your role will also involve integrating AI/ML services using Python, working with LLM APIs like OpenAI and Anthropic, and building AI pipelines for prompt engineering, AI inference workflows, vector databases such as Pinecone and Weaviate, as well as embedding & retrieval systems like RAG. You will be responsible for implementing conversational workflows, automation logic, and optimizing token usage for AI performance. In terms of frontend development, you will develop dynamic UI using React.js, build dashboards, workflow builders, and campaign modules, integrate real-time updates via WebSockets, and create responsive and intuitive product interfaces. As part of product development ownership, you will translate product requirements into scalable technical architecture, collaborate with product managers to define technical feasibility, build MVPs and production-ready systems, optimize deployment pipelines using CI/CD, and write clean, maintainable, and testabl