Senior Frontend AI Engineer

Senior Frontend Developer (AI Tech Enablement) We are seeking a visionary Senior UI Developer to join our Technology Enablement team. In this role, you will bridge the gap between world‑class user interface design and cutting‑edge Artificial Intelligence. You will be responsible for building high‑quality, responsive web applications while leading the integration of AI/ML capabilities—specifically through expert prompt engineering and agentic workflows—to enhance internal operations and customer experiences. Key Responsibilities AI‑Driven UI Development: Design and implement sophisticated user interface components for AI‑enabled applications using frameworks like React.js or Angular. Prompt & Context Engineering: Design, test, and optimize complex prompts for Large Language Models (LLMs) to ensure reliable, high‑quality, and contextually aware outputs. AI Enablement: Transform theoretical AI/ML concepts into practical, value‑driven solutions that improve operational efficiency and “future‑proof” the technology stack. Agentic Orchestration: Develop and maintain AI workflows, including multi‑agent systems and Retrieval‑Augmented Generation (RAG) pipelines, to solve complex business problems. Technical Leadership: Mentor junior developers in AI best practices and modern front‑end architectures (e.g., Micro Frontends, CI/CD). Collaboration: Partner with Product Managers, Data Scientists, and AI Researchers to align user needs with evolving AI behaviors. Required Skills & Qualifications Experience: 5+ years in front‑end development with a strong focus on React.js or similar modern frameworks. Education: Bachelor’s degree in Computer Science, Software Engineering, or a related field. AI Mastery: Proven hands‑on experience with LLM APIs (OpenAI, Anthropic Claude), LangChain, and prompt engineering techniques. Technical Stack: Expert‑level JavaScript (ES6+), TypeScript, and Python. UI/UX: Proficiency in HTML5, CSS3/SASS, and design tools like Figma or Adobe Creative Cloud. AI Tools: Familiarity with Agent Orchestration, Autogen, Semantic Query, and MCP (Model Context Protocol) tools. Cloud Infrastructure: Experience developing and deploying applications on Microsoft Azure or similar cloud platforms. #J-18808-Ljbffr Brightedge