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Salary
≈ $17k – $39k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp

First seen by Alion on Oct 29, 2026.

Overview
Company
Impact
Profile match
Rakuten is a global technology and e-commerce conglomerate headquartered in Tokyo, Japan, and founded in 1997. The company provides a diverse range of services including online retail, financial services, digital content, and telecommunications through its ecosystem of over 70 businesses. Operating across 30 countries and regions, the group utilizes its Rakuten India division as a major global technology hub for research, development, and innovation.

We are seeking a talented and experienced Senior Full-stack 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 70% Python, Node.js/Express.js APIs, database integrations, and AI service orchestration

Requirements:

  • Bachelor's degree in computer science, engineering, or a related field.
  • 5-8 years of experience in full-stack development with a 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.

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 a deep understanding of the type system.
  • Component libraries (Ant Design or Material-UI).
  • State management solutions (Redux, React Query).


Backend and Data:

  • Python and 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 and 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 and Optimization:

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

Skills

Express.js, JavaScript, Next.js, Node.js, Python, React, React.js, TypeScript

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