Fullstack Developer with AI/ML and GenAI

6 - 8 years

12 - 17 Lacs

Posted:None| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Summary

We are seeking a talented and experienced Senior Fullstack Engineer to join our Conversational AI (CXD) team. In this role, you will be responsible for designing, developing, and maintaining robust and scalable AI-powered web applications with a strong focus on frontend development (60-70%) while maintaining solid backend capabilities. You will work closely with product managers, designers, and other engineers to build next-generation AI experiences including chat interfaces, LLM integrations, and intelligent user interactions. The ideal candidate will have deep JavaScript expertise, strong React ecosystem knowledge, experience with AI/LLM technologies, and a passion for building high-quality, maintainable solutions that effectively integrate cutting-edge AI capabilities.

Responsibilities

  • AI Application Development: Build AI-powered chat applications, conversational interfaces, and intelligent user experiences
  • Multi-Agent Systems: Design and implement complex AI workflows using, for example, LangGraph and multi-agentic architectures
  • LLM Observability: Implement monitoring, logging, and performance tracking for AI/LLM integrations
  • Frontend Development: Design, develop, and maintain responsive web applications using React, Next.js, and TypeScript with deep JavaScript expertise
  • System Architecture: Make strategic technical decisions about AI application structure, data flow patterns, and scalability solutions
  • Performance Engineering: Optimize Core Web Vitals, bundle analysis, rendering performance, and AI response times for complex applications
  • API Integration: Develop and consume RESTful APIs, GraphQL services, and LLM APIs with proper error handling and state management
  • Technical Leadership: Conduct code reviews, mentor junior developers, and establish frontend development standards
  • Business Translation: Work with stakeholders to translate business requirements into technical solutions and feasibility assessments
  • Test Automation: Develop comprehensive automated unit, integration, and end-to-end tests
  • Production Support: Debug complex production issues, memory leaks, race conditions, and cross-browser inconsistencies
  • Security Implementation: Implement authentication flows, XSS prevention, data privacy and AI safety measures
  • Backend Development: Build and maintain Node.js/Express.js APIs, database integrations, and AI service orchestration

Requirements

Experience & Education

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 5-8 years of experience in fullstack development with frontend focus
  • Proven experience building chat applications and conversational interfaces
  • Experience integrating with AI/ML APIs and LLM frameworks
  • Strong analytical, problem-solving, and technical communication skills
  • Excellent collaboration abilities and experience working in cross-functional teams

 

Core Technical Expertise

Frontend Technologies

  • Advanced JavaScript (ES6+, closures, prototypes, async patterns, event loop, browser APIs)
  • React.js with hooks, context, and modern patterns
  • Next.js including SSR, SSG, and App Router
  • TypeScript with deep understanding of type system
  • Component libraries (Ant Design or Material-UI)
  • State management solutions (Redux, React Query)

 

Backend & Data

  • Node.js & Express.js for API development
  • Database technologies (PostgreSQL, MongoDB, or MySQL)
  • RESTful APIs and GraphQL services

 

AI/LLM Integration

  • OpenAI APIs, LangChain, or similar frameworks
  • Streaming AI responses and error handling
  • Performance optimization for AI applications
  • Multi-agent system implementation

 

Development Practices & Tools

  • Modern testing frameworks (Jest, React Testing Library, Cypress)
  • Performance monitoring and debugging tools
  • Git version control and collaborative workflows
  • CI/CD pipelines and deployment automation
  • System architecture patterns and scalable application design
  • Security best practices including authentication flows and XSS prevention

 

Performance & Optimization

  • Core Web Vitals optimization
  • Bundle analysis and rendering performance
  • Memory management and browser-specific optimizations
  • Cross-browser compatibility and debugging

 

 

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