Backend Developer – TypeScript / Node.js / MCP / LLM / RAG

Job Title: Backend Developer – TypeScript / Node.js / MCP / LLM / RAG
Location: Kharadi, Pune OR Remote
Shift: EST Shift (7:30 PM IST – 4:30 AM IST)
About the Role
We’re looking for a Backend Developer with strong expertise in API development , MCP server integration , and experience working with LLM and RAG pipelines .

The ideal candidate should be highly proficient in TypeScript, JavaScript, and Node.js , with working knowledge of ReactJS for cross-functional collaboration.

You’ll be working on next-generation AI-driven products integrating real-time voice, data, and machine learning components.
Key Responsibilities
Design, build, and maintain backend services using Node.js and TypeScript.
Develop, optimize, and document RESTful and GraphQL APIs.
Implement and manage MCP servers for model context and runtime integrations.
Integrate LLM (Large Language Models) and RAG (Retrieval-Augmented Generation) components into backend workflows.
Collaborate with frontend teams to ensure smooth API-to-UI data flow (ReactJS).
Write efficient, modular, and scalable backend code.
Integrate with databases (PostgreSQL, MongoDB, or similar) and caching systems.
Ensure code quality, performance, and security across all backend components.
Required Skills & Experience
3–6 years of professional experience in Node.js, TypeScript, and JavaScript .
Proven experience building and integrating APIs at scale.
Hands-on experience working with MCP servers .
Strong knowledge of LLM and RAG-based systems (e.g., LangChain, OpenAI, or similar frameworks).
Basic to intermediate experience with ReactJS (frontend collaboration).
Strong grasp of asynchronous programming and event-driven design.
Familiarity with Git, CI/CD, and containerization (Docker).
Good to Have
Exposure to WebSocket or real-time data systems.
Experience deploying AI pipelines in production environments.
Familiarity with cloud platforms (AWS, GCP, Azure).
Understanding of authentication frameworks (JWT, OAuth).
Why Join Us
Work on cutting-edge AI infrastructure combining LLM, RAG, and real-time systems.
Be part of a fast-paced team shaping the future of AI-powered voice and automation.
Competitive salary, performance-based growth, and career advancement.
CCT mentiones is in INR