Urgent Requirement: MERN Stack + AI Developer

Role & responsibilities

• Design, develop, test, and maintain full-stack web applications using the

  MERN stack

  (MongoDB, Express.js,React.js, Node.js) and Python for backend or AI-related modules.
• Architect and integrate

  AI/ML

  capabilities such as model integration,

  chatbot/NLP

  features,

  LLM

  re-training, and

  Retrieval-Augmented Generation (RAG).

• Build intelligent workflows and automations using n8n and API-based integrations.
• Develop applications leveraging

  LangChain

  for

  LLM

  orchestration and vector database systems such as Pinecone, Weaviate, or FAISS for semantic search and retrieval.
• Deploy, manage, and monitor applications on

  AWS

  or

  Azure cloud infrastructure

  using services like

  EC2

  ,

  S3

  ,

  Lambda

  , RDS, DynamoDB,

  API Gateway

  ,
  Azure App Services, Azure Functions, Azure Blob Storage, and Cosmos DB.
• Experience containerizing and orchestrating applications using

  Docker and Kubernetes.

• Ensure high performance, scalability, and security across all environments.
• Build and consume RESTful and GraphQL APIs, implement authentication (JWT, OAuth, etc.), and integrate external data sources.
• Collaborate with designers, product owners, and other developers in an Agile environment to deliver efficient, maintainable code and conduct peer reviews.
• Maintain comprehensive technical documentation and reusable components.

Preferred candidate profile

• 2-5 years of professional experience in the MERN stack (MongoDB, Express.js, React.js, Node.js).
• Strong hands-on experience in Python for backend or AI workloads.
• Proficiency deploying and managing applications on either AWS or Azure.
• Solid understanding of integrating AI/ML models, AI APIs, or LLM-based tools into web solutions.
• Experience with LangChain, RAG pipelines, vector databases, and LLM re-training or fine-tuning.
• Familiarity with workflow automation tools like n8n.
• Proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frontend development.
• Experience with Git version control, Agile methodologies, and CI/CD integrations.
• Strong analytical, problem-solving, and collaboration skills.
• Experience containerizing and orchestrating applications using Docker / Kubernetes.
• Familiarity with Redux, Next.js, or other modern frontend libraries.
• Understanding of MLOps practices or cloud-based ML pipelines.
• Exposure to WebSockets, third-party API integration and test frameworks such as Jest, Mocha, or Cypress.
• Practical experience building AI-powered internal tools or workflow automation platforms