Front End Engineer / Ai Developer

Key Responsibilities
• Build AI-Driven UIs: Develop interactive, high-performance web components for AI features such as conversational assistants, smart search, and personalized recommendations.
• Integrate AI & LLM APIs: Connect frontend layers to backend LLM providers (e.g., OpenAI, Anthropic, Gemini), RAG pipelines, and agent frameworks (e.g., LangChain, Google ADK).
• Handle Real-Time Streaming: Implement low-latency streaming states using Server-Sent Events (SSE), WebSockets, and live execution logs for long-running AI tasks.
• Human-in-the-Loop (HITL) Controls: Build intuitive validation screens that let users review, edit, approve, or override AI-generated actions before final execution.
• Performance & Optimization: Optimize Core Web Vitals, client-side caching, state machines, and responsive layouts for complex data-heavy interfaces.
• Testing & Reliability: Write clean, well-tested code using modern unit and end-to-end testing frameworks (Playwright, Jest).

Technical Requirements & Skills
Frontend Development
• Languages: JavaScript (ES6+), TypeScript, HTML5, CSS3/Tailwind CSS.
• Frameworks: React.js, Next.js, or Astro.
• State & APIs: GraphQL, REST, WebSockets, SSE, and complex client-side state management.

AI & Automation Stack
• AI Toolkits: Vercel AI SDK, LangChain, Google ADK, or direct LLM API integration.
• Concepts: Retrieval-Augmented Generation (RAG), vector embeddings, tool/function-calling, and Model Context Protocol (MCP).
• Backend / Scripting: Working knowledge of Python or Node.js for automation hooks and API bridging.

Engineering Practices
• Version Control & CI/CD: Git, GitHub/GitLab, automated build pipelines.
• Quality Assurance: Automated testing with Playwright or