AI Engineer

nd Next.js.

• Develop,implement, and optimize machine learning and AI models

• Implement RAGarchitectures to enhance AI solutions with knowledge retrieval forenterprise applications.

• Collaboratewith backend engineers to integrate AI/ML solutions via APIs.

• Build reusable,responsive UI components with clean architecture.

• IntegrateREST/GraphQL APIs from AI/ML backends, with proper error handling.

• Manageapplication state and asynchronous data flows.

• Optimizeperformance, accessibility, and cross-browser compatibility.

• Write unit andcomponent tests using Jest and React Testing Library.

• Debug andresolve 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/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-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

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