UI Engineer + AI

Zensar Technologies · IT Services & Consulting

India
On-site
Posted today
Design

Apply on Zensar Technologies Create resume for this job

About the job

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