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Anantapur | Expertini

Urgent! Backend developer – typescript / node.js / mcp / llm / rag Job | JobTalk AI

Backend developer – typescript / node.js / mcp / llm / rag



Job description

Job Title: Backend Developer – Type Script / 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 Type Script, Java Script, and Node.js , with working knowledge of React JS 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 Type Script.


Develop, optimize, and document RESTful and Graph QL 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 (React JS).


Write efficient, modular, and scalable backend code.


Integrate with databases (Postgre SQL, Mongo DB, 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, Type Script, and Java Script .

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., Lang Chain, Open AI, or similar frameworks).

Basic to intermediate experience with React JS (frontend collaboration).

Strong grasp of asynchronous programming and event-driven design.


Familiarity with Git, CI/CD, and containerization (Docker).

Good to Have Exposure to Web Socket 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


Required Skill Profession

Other General



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