Source description
About the role
Senior Frontend Developer (AI Tech Enablement)
Role Summary
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: Languages: 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. Education: Bachelor’s degree in Computer Science, Software Engineering, or a related field.
More at BrightEdge