The Role
Build responsive, scalable web applications with reusable UI components and modern front-end architectures. Integrate LLMs and generative AI capabilities, including chatbots, copilots, recommendation engines, intelligent search, RAG workflows, and AI agents. Collaborate with product, UX, data science, and backend teams; integrate APIs and microservices; participate in architecture decisions, code reviews, Agile delivery, and monitoring of AI-powered experiences.
Summary Generated by Built In
Job Summary
ResponsibilitiesWe 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 ResponsibilitiesUI Engineering
Qualifications- 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.
- 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.
- 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.
- React.js / Next.js
- TypeScript
- JavaScript (ES6+)
- HTML5
- CSS3 / SCSS
- Responsive Web Design
- Material UI, Tailwind CSS, Bootstrap
- 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
- Node.js / Python
- REST APIs
- GraphQL
- Microservices Architecture
- Azure, AWS, or GCP
- Docker
- Kubernetes
- CI/CD Pipelines
- GitHub Actions / Jenkins
- MongoDB
- PostgreSQL
- MySQL
- Redis
- 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).
- 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.
- Front-End Architecture
- AI/GenAI Product Development
- User-Centric Design Mindset
- Problem Solving & Innovation
- System Design & Integration
- Stakeholder Collaboration
- Communication & Presentation Skills
- Continuous Learning
- 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.
- 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
Key ResponsibilitiesUI Engineering
About UsAt Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.- 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.
- 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.
- 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.
- React.js / Next.js
- TypeScript
- JavaScript (ES6+)
- HTML5
- CSS3 / SCSS
- Responsive Web Design
- Material UI, Tailwind CSS, Bootstrap
- 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
- Node.js / Python
- REST APIs
- GraphQL
- Microservices Architecture
- Azure, AWS, or GCP
- Docker
- Kubernetes
- CI/CD Pipelines
- GitHub Actions / Jenkins
- MongoDB
- PostgreSQL
- MySQL
- Redis
- 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).
- 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.
- Front-End Architecture
- AI/GenAI Product Development
- User-Centric Design Mindset
- Problem Solving & Innovation
- System Design & Integration
- Stakeholder Collaboration
- Communication & Presentation Skills
- Continuous Learning
- 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.
- 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
Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.
We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.
Skills Required
- Bachelor's or Master's degree in Computer Science, Information Technology, AI/ML, or a related field
- 5+ years of UI or front-end development experience
- 2+ years of experience working with AI or generative AI technologies
- Experience with React.js or Next.js
- Experience with TypeScript and JavaScript ES6+
- Experience with HTML5, CSS3 or SCSS, and responsive web design
- Experience integrating AI/ML APIs, LLMs, and generative AI solutions
- Experience with prompt engineering, Retrieval-Augmented Generation, and AI orchestration frameworks
- Strong problem-solving and software engineering skills
- Experience building AI assistants, chatbots, or copilot solutions
- Knowledge of machine learning concepts and natural language processing
- 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
- Experience with AI agents and multi-agent systems
- Familiarity with Adobe Experience Platform and Adobe Journey Optimizer
- Knowledge of web accessibility and WCAG
- Experience with retail, eCommerce, or customer experience platforms
- Relevant AI or React certifications
Zensar Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zensar Technologies and has not been reviewed or approved by Zensar Technologies.
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Retirement Support — A 401(k) with company match and immediate vesting is highlighted, with broad fund options available.
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Wellbeing & Lifestyle Benefits — Work-life balance, remote/hybrid flexibility, and supportive teams are emphasized as strengths that enhance the overall experience.
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Parental & Family Support — Inclusive policies such as parental leave and access to EAP and dependent medical coverage are promoted across regions.
Zensar Technologies Insights
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The Company
What We Do
Zensar is a leading experience, engineering, and technology solutions company. We conceptualize, build, and manage digital products for Forbes Global 2000 clients across the hi-tech engineering, banking and financial services, insurance, manufacturing and consumer services verticals. With proven excellence across five core areas, including experience services, advanced engineering services, data engineering and analytics, foundation services, and application services, our solutions leverage industry-leading platforms to help our clients be competitive, agile, and disruptive while moving with velocity through change and opportunity. Zensar’s expansive ecosystem of 60+ technology partners, including Oracle, Salesforce, SAP, Guidewire, Automation Anywhere, Adobe, and UiPath, enables us to deliver comprehensive solutions to clients, facilitating seamless integration and allowing them to leverage cutting-edge technologies and tools for enhanced business outcomes. Zensar is part of the USD 4.4 billion RPG Group. With headquarters in Pune, India, our 10,500+ employees, representing over 50 nationalities, work from 30+ locations across North America, UK/Europe, and South Africa. Visit us at www.zensar.com
