Associate AI Engineer – Front End

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 frontend applications using React.js and Next.js. Develop, implement, and optimize machine learning and AI models Implement RAG architectures to enhance AI solutions with knowledge retrieval for enterprise applications. Collaborate with backend engineers to integrate AI/ML solutions via APIs. Build reusable, responsive UI components with clean architecture. Integrate REST/GraphQL APIs from AI/ML backends, with proper error handling. Manage application state and asynchronous data flows. Optimize performance, accessibility, and cross-browser compatibility. Write unit and component tests using Jest and React Testing Library. Debug and resolve production issues 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/SSG fundamentals 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 language models (LLMs) State management (Context API, SWR or React Query) Build tools (Webpack or Vite), npm/yarn Git-based version control workflows Testing Jest React Testing Library Basic understanding of end-to-end testing (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 containerization knowledge) Exposure to CI/CD tools (e.g., GitHub Actions) Basic understanding of cloud environments (AWS preferred) Familiarity with logging, monitoring, and performance tracking #LI-Onsite