Senior Frontend Engineer - GenAI Applications

As a Senior Frontend Engineer - GenAI Applications, you will be leading the development of dynamic and interactive user interfaces for our Generative AI products. Your role will be crucial in creating seamless UI experiences for LLM-based applications like chatbots, coding agents, BI dashboards, and more. Working closely with designers, data scientists, and backend engineers, you will contribute to building next-gen AI-powered interfaces that are highly performant, intuitive, and engaging. Your key responsibilities will include designing and developing responsive, user-friendly interfaces for AI-powered applications, building advanced conversational UI components for LLM-based chatbots and assistants, developing real-time streaming interfaces for interactive LLM responses, creating interactive data visualizations for AI-powered BI and analytics dashboards, implementing code editor UIs for AI coding agents with syntax highlighting, optimizing UI performance for large-scale, AI-driven applications, and collaborating with UX designers to deliver intuitive AI interaction experiences. To excel in this role, you should have 3-7 years of overall experience, with at least 1 year specifically in Generative AI. Your frontend development skills should include 3+ years of experience with modern JavaScript/TypeScript frameworks such as React.js and/or Angular, proficiency in state management tools like Redux or Zustand, experience with Next.js, a solid understanding of React Query / TanStack Query, skills in styling using frameworks like Tailwind CSS, and a strong grasp of responsive design principles. Additionally, you should have experience in building conversational interfaces, familiarity with WebSocket communication, and real-time data streaming. Understanding LLM interaction patterns and prompt-response flows, as well as experience with code editor components and visual dashboards using charting and visualization libraries, will be essential. Nice-to-have skills include experience with RAG chatbot interfaces, familiarity with natural language to SQL UI tools, building AI agent interaction workflows, and knowledge of prompt engineering and template management UI systems.,