UI Engineer + AI

Job Summary We are seeking a highly skilled UI Engineer with AI expertise to build intelligent, user-centric web applications powered by AI/GenAI capabilities. The ideal candidate will combine strong front-end engineering skills with experience integrating AI/ML and Generative AI solutions into modern digital products. This role involves collaborating with Product Managers, UX Designers, Data Scientists, and Backend Engineers to create next-generation AI-driven user experiences. Key Responsibilities UI Engineering Design and develop responsive, scalable, and high-performance web applications. Build reusable UI components and front-end frameworks. Collaborate with UX Designers to translate designs into pixel-perfect interfaces. Optimize applications for performance, accessibility, and cross-browser compatibility. Implement state management and component-driven architectures. AI & GenAI Integration Integrate LLMs and Generative AI solutions into web applications. Develop AI-powered features such as chatbots, copilots, recommendation engines, and intelligent search. Build and consume AI/ML APIs and services. Work with prompt engineering, Retrieval-Augmented Generation (RAG), and AI orchestration frameworks. Collaborate with Data Science teams to deploy and monitor AI-powered experiences. Collaboration & Delivery Participate in architecture discussions and technology selection. Collaborate with backend teams to design and integrate RESTful APIs and microservices. Conduct code reviews and enforce development best practices. Participate in Agile/Scrum ceremonies and delivery activities. Required Technical Skills Front-End Development React.js / Next.js TypeScript JavaScript (ES6+) HTML5 CSS3 / SCSS Responsive Web Design Material UI, Tailwind CSS, Bootstrap AI & GenAI OpenAI, Azure OpenAI, Anthropic Claude, Gemini Prompt Engineering Retrieval-Augmented Generation (RAG) LangChain / LangGraph AI Agent Frameworks Vector Databases (Pinecone, ChromaDB, FAISS) AI Model Integration via APIs Backend & APIs Node.js / Python REST APIs GraphQL Microservices Architecture Cloud & DevOps Azure, AWS, or GCP Docker Kubernetes CI/CD Pipelines GitHub Actions / Jenkins Databases MongoDB PostgreSQL MySQL Redis Preferred Skills Experience building AI Assistants, Chatbots, or Copilot solutions. Knowledge of Machine Learning concepts and NLP. Familiarity with AI observability and model monitoring. Experience with Azure AI Foundry, Azure Cognitive Services, or AWS Bedrock. Understanding of MLOps concepts and deployment pipelines. Exposure to multimodal AI applications (text, image, voice). Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, AI/ML, or related fields. 5+ years of experience in UI/Front-End development. 2+ years of experience working with AI/GenAI technologies. Strong problem-solving and software engineering skills. Key Competencies Front-End Architecture AI/GenAI Product Development User-Centric Design Mindset Problem Solving & Innovation System Design & Integration Stakeholder Collaboration Communication & Presentation Skills Continuous Learning Nice to Have Experience with AI Agents and Multi-Agent Systems. Familiarity with Adobe Experience Platform (AEP) and Adobe Journey Optimizer (AJO). Knowledge of Web Accessibility (WCAG). Experience with Retail, eCommerce, or Customer Experience platforms. AI-related certifications from Microsoft, AWS, Google, or OpenAI ecosystem. Certifications (Preferred) Microsoft Certified: Azure AI Engineer Associate Microsoft Applied Skills: Build Generative AI Solutions AWS Certified Machine Learning Specialty Google Professional Machine Learning Engineer React Professional Certification