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UI Engineer + AI

ZensarBengaluru🇮🇳India

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationBengaluru, India
DockerGCPMaterial UIMicroservicesMongoDBMySQLNext.jsGitHTMLAWSMLOpsNLPScrumCSSBootstrapGitHub ActionsGraphQLJenkinsPythonRedisTailwind CSSGenerative AIRESTAzureNode.jsReactPostgreSQLKubernetesJavaScriptTypeScriptMachine LearningAgilePrompt EngineeringCI/CDLangChainLangGraphRAGSystem Design

Job description

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

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

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