Role Description
**Life at U Mobile**
We are Passionate, Innovative, Trustworthy, Team-Oriented \& Fun-Loving.
At U Mobile, we are always on the lookout for great talents and passionate individuals to join our growing team.
Let’s start your journey with an award-winning organization!
#UnbeatableCareerAwaits
**Top Reasons To Join Us!**
* Awarded For
* Most Preferred Employers in Telecommunication Industry (2022, 2023 \& 2024\)
* Bronze Winner in Cross-Generational Workforce Engagement (2024\)
* Gold Winner for Excellence in Workplace Culture (2021\)
* Comprehensive medical, dental, optical and insurance benefits
* Flexi working hours arrangements
* Staff Line \& Device Subsidy
* Smart Casual Attire
* Child Parental Care Leave
* Convenient location with access to public transport (Imbi Monorail/Bukit Bintang MRT)
* Special employee discounts for selected F\&B Brands
**Role**
This role is an AI-focused Frontend Developer and UI/UX Designer responsible for designing and building responsive, real-time conversational interfaces by bridging high-fidelity prototyping with modern React development and LLM API integration.
**The Day-To-Day Activities**
UI/UX Design: Create wireframes and high-fidelity prototypes for a conversational AI interface, focusing on user flow and responsiveness.
Frontend Development: Develop the web application using modern frameworks (e.g., React, Vue, or Next.js) to ensure a smooth, "app-like" feel.
Chat Interface Implementation: Build and style chat components, including message bubbles, auto-expanding text areas, and streaming text animations
API Integration: Connect the frontend to backend LLM APIs to facilitate real-time communication.
**About You**
* Background of Studies:
Bachelor’s degree in Computer Science, Information Technology, or Software Engineering
* Technical:
* Languages: Proficiency in HTML5, CSS3, and JavaScript (ES6\+).
* Frameworks: React.js
* Styling: Familiarity with Tailwind CSS or Styled Components
* Version Control: Basic understanding of Git/GitHub
* understanding of LLM model training concept
* Cloud : AWS
**What’s Next ?**
Once you have applied online, our team will review your application and due to a high volume of applications, only shortlisted candidates will be notified.