Full Stack Developer(React + Node.js + AI/ML Development)

About the Role:

highly skilled Full Stack Developer

Key Responsibilities:

Frontend (React.js)

• Develop modern, responsive, and scalable UI components using React.js
  
• Implement reusable components and UI libraries
  
• Ensure cross-browser compatibility and front-end performance optimization
  
• Integrate frontend with backend REST APIs and AI services
  

Backend (Node.js)

• Build and maintain scalable backend services using Node.js & Express
  
• Design, develop, and optimize RESTful APIs
  
• Work with databases (MongoDB, MySQL, PostgreSQL, or similar)
  
• Optimize backend logic, queries, caching, and server performance
  

AI & Machine Learning (Mandatory)

• Implement, fine-tune, or integrate ML/AI models into applications
  
• Work with OpenAI, Google AI, HuggingFace, or custom-trained models
  
• Build AI-driven APIs (chatbots, recommendation engines, NLP pipelines, embeddings, etc.)
  
• Deploy models using cloud platforms (AWS, GCP, Azure, or custom servers)
  
• Handle data preprocessing, vector databases, and model optimization
  

Other Responsibilities:

• Collaborate with UI/UX designers, product managers, and QA teams
  
• Write clean, maintainable, and testable code
  
• Participate in code reviews and contribute to technical documentation
  
• Troubleshoot, debug, and upgrade existing systems

Key Skills Required:

Frontend Skills:

• React.js, Redux/Context API
  
• JavaScript (ES6+), HTML5, CSS3, Tailwind/Bootstrap
  
• REST API integration
  

Backend Skills:

• Node.js, Express.js
  
• MongoDB / PostgreSQL / MySQL
  
• API authentication (JWT/OAuth)
  
• WebSockets (optional)
  

AI/ML Skills:

• Experience with AI API integrations (OpenAI, Gemini, Claude, etc.)
  
• ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  
• NLP, LLM fine-tuning, embeddings, RAG, vector DBs (Pinecone, Weaviate, FAISS)
  
• Model deployment (Docker, serverless functions, cloud hosting)
  

Tools & DevOps (Good to Have):

• Docker, Git, CI/CD
  
• AWS / GCP / Azure
  
• Microservices architecture

Qualifications:

• Bachelors or Master’s degree in Computer Science / Engineering or related field
  
• Minimum

  3 years of full-time development experience

• Must have completed

  AI/ML development projects

  (showcase required)
• Proven experience with full stack development & API design