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