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Copyright © 2025
Copyright © 2025
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Role Description:
Lead UI Developer with GenAI Experience
We are seeking a seasoned Lead UI Developer with over 12 years of experience in software development, specializing in ReactJS, frontend architecture, and Generative AI integration. The ideal candidate will possess a strong grasp of architectural principles, design patterns, and hands-on experience building scalable applications. Familiarity with Angular, Next.js, Node.js-based APIs, and GenAI frameworks (e.g., OpenAI, Hugging Face, LangChain) is a plus. This role demands a deep understanding of application compatibility, security, and API integration within modern cloud environments.
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Key Responsibilities:
• Lead the design and development of robust, scalable, and maintainable UI applications.
• Architect and implement GenAI-powered features such as intelligent assistants, content generation, and adaptive UI components.
• Evaluate and apply architectural standards and design patterns for frontend and GenAI-enhanced solutions.
• Develop high-performance user interfaces using ReactJS; Angular experience is a bonus.
• Collaborate with backend teams to integrate Next.js or Node.js-based APIs and GenAI endpoints.
• Ensure application compatibility across browsers and devices.
• Implement security best practices in frontend and GenAI data handling.
• Mentor junior developers and contribute to code reviews and technical discussions.
• Work closely with DevOps and cloud teams to deploy and manage applications on AWS, including GenAI model hosting and orchestration.
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Required Qualifications:
• 12+ years of experience in software development, with a strong focus on frontend technologies.
• Proven expertise in ReactJS and modern JavaScript/TypeScript.
• Solid understanding of architectural principles and design patterns.
• Experience with API integration, especially using Next.js or Node.js.
• Hands-on experience integrating GenAI models into frontend applications (e.g., chatbots, summarization tools, recommendation engines).
• Knowledge of application compatibility, security, and performance optimization.
• Familiarity with AWS services related to frontend deployment and GenAI model hosting (e.g., SageMaker, Bedrock).