Title- Full Stack Developer(TypeScript / Node.Js / React / Next.Js with AI/ML Exposure)
Location: -On-site
Experience: 3–6 Years
Employment Type: Full-Time
  
About the Role:
  
 We are looking for a Mid-Level Full Stack Developer   with strong hands-on experience in TypeScript, Node.Js, and React/Next.Js  , along with exposure to AI/ML technologies   such as Natural Language Processing (NLP), Chatbots, and RAG (Retrieval-Augmented Generation) systems  .
 
 You will be responsible for developing high-quality, scalable web applications and collaborating closely with our product, AI, and backend teams to deliver innovative solutions.
 
  
  
Key Responsibilities:
  -  Develop, maintain, and optimize full-stack applications using TypeScript  , Node.Js  , and React/Next.Js  .
 
  -  Integrate AI/ML-driven features   (e.G., Chatbots, NLP pipelines, RAG systems) into existing applications.
 
  -  Build and consume RESTful APIs   and GraphQL   endpoints.
 
  -  Collaborate with designers, AI engineers, and product managers to translate requirements into high-quality code.
 
  -  Ensure code quality through testing, peer reviews, and best practices in CI/CD.
 
  -  Debug performance bottlenecks and ensure scalability, reliability, and security of applications.
 
  -  Stay updated with emerging trends in web technologies and AI/ML integration  .
 
  
  
Mandatory Skills:
  -  Strong expertise in TypeScript  , Node.Js  , and React/Next.Js  .
 
  -  Exposure to AI/ML concepts   such as NLP, Chatbots, or RAG systems  .
 
  -  Proficiency in REST APIs  , Microservices  , and Database Integration (SQL/NoSQL)  .
 
  -  Familiarity with Git  , Docker  , and CI/CD workflows  .
 
  -  Solid understanding of software design patterns   and best development practices  .
 
  
  
Good to Have:
  -  Experience with Python  , especially for AI/ML model integration.
 
  -  Knowledge of LangChain  , OpenAI API  , or LLM-based applications  .
 
  -  Familiarity with cloud platforms (AWS, Azure, or GCP)  .
 
  -  Understanding of serverless architecture   and container orchestration (Kubernetes)  .
 
  
  
Education:
  -  Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent practical experience).
 
  
  
Why Join Us:
  -  Opportunity to work on next-generation AI-powered applications  .
 
  -  Collaborative and growth-oriented work culture.
 
  -  Exposure to the latest web and AI technologies  .
 
  -  Flexible working environment with performance-based growth opportunities.