UI Engineer + AI
Zensar Technologies · Bengaluru · onsite · Posted 1d ago
Undisclosed5–10 yrsfulltimeSourced from
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About this role
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.
- 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).
- Bachelors or Masters 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 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.
- 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).
- Bachelors or Masters 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
This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
BedrockAgileai assistantsAzure AiAzure Cognitive Servicesapisadobe experience platformaws bedrockai modelamazon web servicesAzure OpenAIAdobe Journey OptimizerBootstrapArchitectureAWS CertifiedMicrosoft AzureArtificial IntelligenceAnthropic SDK
About Zensar Technologies
Zensar Technologies
IT Services & Consulting
10.0k+
employees
2001
25 years old
Pune, Maharashtra
India
About
Zensar is a global organization that conceptualizes, builds, and manages digital products through experience design, data engineering, and advanced analytics for leading companies.
Industries
IT Services & Consulting
Employee ratings
2,994 reviews
3.7/ 5
Culture
3.5
Career growth
3.0
Work-life
3.8
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