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Arting Digital

AI Full Stack Engineer (React.js + Node.js)

Posted 4 Hours Ago
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In-Office
Pune, Maharashtra, IND
Mid level
In-Office
Pune, Maharashtra, IND
Mid level
Build scalable AI-powered web applications using React.js and Node.js. Develop responsive frontends, backend services, REST APIs, authentication, database integrations, and third-party cloud integrations. Integrate LLM platforms and implement chatbots, RAG, document analysis, semantic search, and automation features. Collaborate cross-functionally, write maintainable code, and participate in Agile development.
The summary above was generated by AI
Position: AI Full Stack Engineer (React.js + Node.js)
Experience: 3+ Years
Location: Baner, Pune (Work from Office)
Employment Type: Full-time
Job Summary

We are looking for an AI Full Stack Engineer with expertise in React.js and Node.js to build scalable, AI-powered web applications. The ideal candidate should have experience integrating LLMs, developing REST APIs, and delivering responsive user interfaces.

Key Responsibilities
  • Develop responsive web applications using React.js.
  • Build scalable backend services and REST APIs using Node.js & Express.js.
  • Integrate AI/LLM platforms (OpenAI, Azure OpenAI, Gemini, Claude, etc.).
  • Implement AI features such as chatbots, RAG, document analysis, semantic search, and automation.
  • Develop secure authentication (JWT/OAuth) and optimize databases (MongoDB/PostgreSQL/MySQL).
  • Integrate third-party APIs and cloud services.
  • Collaborate with cross-functional teams, write clean code, and participate in Agile development.
Required Skills
  • Frontend: React.js, JavaScript (ES6+), TypeScript, HTML/CSS, Tailwind CSS/Material UI/Bootstrap, Redux/Context API
  • Backend: Node.js, Express.js, REST APIs, JWT/OAuth, WebSockets (preferred)
  • AI: LLM integration, LangChain/LangGraph, RAG, Vector Databases (Pinecone, ChromaDB, FAISS), AI Agents (preferred)
  • Database: MongoDB, PostgreSQL/MySQL
  • Tools: Git, Docker, CI/CD, AWS/Azure/GCP (preferred)
Preferred Qualifications
  • Bachelor's/Master's in Computer Science, IT, or related field.
  • Experience with AI-powered enterprise applications and scalable architectures.
  • Python knowledge for AI/ML integration is a plus.
  • Strong problem-solving and communication skills


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