Basic Information

Ref Number

Req_00157075

Last day to apply

12-Tem-2025

Primary Location

IN - Bengaluru - Indiqube Sigma

Country

India

Job Type

Digital Solutions

Work Style

Hybrid, On Site

Description and Requirements

Responsibilities

  • Build services and platform which power TD AI
  • Understand, follow and contribute to TD AI's standards for the software development life cycle
  • Build frontend interfaces for our new products & optimize user experience in our vast product suite
  • Work closely with product and tech team to deliver efficient, maintainable and unit tested software
  • Contribute to the architecture and design of new and existing systems
  • Collaborate with product & business teams to understand customer journeys and solve problems that help TD AI grow.
  • Elevate the skills of the team through technical mentorship
  • Own a functional area from product conception to delivery including the documentation, code quality, UT coverage, etc
  • Participate in of code reviews, writing tech specs, and collaborating closely with other people.

Additional Job Description

Requirements

  • Strong problem solving skills and are a fast learner
  • Good knowledge of data structures and algorithms
  • At least 2+ years of experience working in front-end development
  • At least experience 2-3+ years experience in React+TypeScript and have strong hold on low level programming/syntax in JavaScript.
  • Experience working on Redux / Vue / Angular is a plus.
  • At least 2+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems
  • Understanding of web bundling tools like webpack and vite.
  • Knowledge of object oriented architecture & design patterns and have extensively worked on implementing them
  • A team player and should be able to give and receive constructive feedback
  • Exposure to frameworks and libraries like three.js, konva.js and antd is a plus.
  • A passion for learning new technologies to deliver exceptional products.

Benefits

  • Work with a world class team working on a very forward looking problem.
  • Competitive salaries.
  • Medical/Health insurance for the self & family
  • A reward system that recognizes your hard work and achievements. Get ready for surprise gifts whenever you perform exceptionally
  • Open culture
  • Work accessories and a great work location
  • Hybrid mode & Flexible Timings
  • Good snacks, games, and a cool office to make you feel like home
  • Frequent office parties to develop bond between colleagues
  • Events & Hackathons with exciting prizes

EEO Statement

TELUS Digital Experience

TELUS Digital (TD) Experience partners with the world’s most innovative brands, from tech startups to industry leaders in fintech, gaming, healthcare, and more. We empower businesses to scale and redefine possibilities with integrated customer experience and cutting-edge digital solutions.

Backed by TELUS, our multi-billion-dollar parent company, we offer scalable, multi-language, and multi-shore capabilities. Our expertise spans digital transformation, AI-driven consulting, IT lifecycle management, and more – delivered with secure infrastructure, value-driven pricing, and exceptional service.

AI Data Solutions: Shaping the Future of AI

For nearly two decades, Telus Digital AI Data Solutions has been a global leader in providing premium data services for the ever-evolving AI ecosystem. From machine learning to computer vision and Generative AI (GenAI), we empower the next generation of AI-powered experiences with high-quality data and human intelligence to test, train and improve AI models.

Backed by a community of over one million contributors and proprietary AI-driven tools, we deliver solutions designed to cover the training data needs of every project. From custom data collection to advanced data annotation and fine-tuning, our purpose-built tools deliver multimodal data for AI training projects of any complexity – from experimental pilots to ambitious large-scale programs. Examples include empowering GenAI models with human-aligned datasets and fine-tuning data across 20+ domains and 100+ languages, enabling autonomous driving and advancing extended reality applications with industry-leading data labeling.

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