We are seeking a Frontend Associate AI Engineer with 1-3 years of experience with strong frontend experience in React/Next.js and hands on experience in AI/ML model development, including RAG (Retrieval-Augmented Generation) architectures. The role involves building scalable web applications, integrating AI-driven backend services, optimizing performance, and contributing to enterprise-grade platforms that handle complex data and real-time updates.
In this role you will...- Develop and maintain frontendapplications using React.js and Next.js.
- Develop, implement, and optimize machinelearning and AI models
- Implement RAG architectures toenhance AI solutions with knowledge retrieval for enterprise applications.
- Collaborate with backend engineersto integrate AI/ML solutions via APIs.
- Build reusable, responsive UIcomponents with clean architecture.
- Integrate REST/GraphQL APIs fromAI/ML backends, with proper error handling.
- Manage application state andasynchronous data flows.
- Optimize performance,accessibility, and cross-browser compatibility.
- Write unit and component testsusing Jest and React Testing Library.
- Debug and resolve productionissues in collaboration with backend and product teams.
You have what it takes if you have...
Core Technologies- React.js - Hooks, lifecycle,context API
- Next.js - Routing, SSR/SSGfundamentals
- TypeScript - Type safety,interfaces, generics
- JavaScript (ES6+) - Async/await,modules
- Modern CSS - Tailwind CSS / SCSS,responsive design
- Machine learning frameworks:TensorFlow, PyTorch, scikit-learn
- Experience in RAG architectures
- Familiarity with large languagemodels (LLMs)
- State management (Context API, SWRor React Query)
- Build tools (Webpack or Vite),npm/yarn
- Git-based version controlworkflows
Testing- Jest
- React Testing Library
- Basic understanding of end-to-endtesting (Playwright preferred)
Data & API Integration- REST API consumption(OpenAPI/Swagger familiarity preferred)
- Basic knowledge of GraphQL(queries/mutations)
- Experience with chart libraries(Chart.js or similar preferred)
Cloud & DevOps Exposure- Docker (basic containerizationknowledge)
- Exposure to CI/CD tools (e.g.,GitHub Actions)
- Basic understanding of cloudenvironments (AWS preferred)
- Familiarity with logging,monitoring, and performance tracking
#LI-Onsite
