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Android/Cross-Platform App Developer

RadiusAIBengaluru, India | Karnataka, IndiaOnsite

About Us:
 We are an innovative company revolutionising retail checkout experiences by replacing traditional barcodes with cutting-edge Computer Vision technology. Our platform enables seamless, faster, and smarter checkout processes, enhancing the shopping experience for both retailers and consumers. We're growing rapidly and are looking for an experienced Android/Cross-Platform App Developer to join our team and help us build the future of retail technology.Role Overview: We are looking for a talented and passionate Android/Cross-Platform App Developer with 4-5 years of experience to help design, develop, and maintain mobile applications that integrate with our Computer Vision-powered retail checkout solution.

You will be a key player in crafting high-performance, user-friendly, and scalable mobile/Web applications that align with our vision of transforming the retail industry.Key Responsibilities:

  • Design, develop, and maintain high-quality Android and cross-platform mobile applications using technologies like Kotlin Multiplatform, Java, or React Native.
  • Collaborate with cross-functional teams (Product, Design, Backend) to define and implement innovative solutions for the mobile platform.
  • Ensure the mobile app is optimised for performance, scalability, and security.
  • Write clean, maintainable, and well-documented code following best practices.
  • Troubleshoot and debug issues to improve app performance and user experience.
  • Participate in code reviews to maintain code quality and consistency.
  • Stay up-to-date with the latest industry trends and mobile development best practices.

Skills and Qualifications:

  • 4-5 years of hands-on experience in Android app development and/or cross-platform development (React Native, Jetpack Compose UI).
  • Strong proficiency in Kotlin Multiplatform and/or Java for Android development.
  • Experience with integrating third-party libraries and APIs into mobile applications.
  • Familiarity with mobile application lifecycle, from development to deployment.
  • Experience working with cloud services and backend APIs (RESTful services, Firebase, etc.).
  • Knowledge of integrating AI or Computer Vision APIs is a plus (TensorFlow, OpenCV, etc.).
  • Experience with version control tools like Git.
  • Strong understanding of mobile app performance optimisation and debugging techniques.
  • Ability to work collaboratively in an agile, fast-paced environment.
  • Excellent problem-solving skills and attention to detail.
  • A passion for delivering great user experiences.

Nice to Have:

  • Familiarity with retail technologies and trends.
  • Experience in UX/UI design and mobile app usability.
  • Experience with CI/CD pipelines and automated testing.
  • Understanding of mobile security best practices.

Why Join Us?:

  • Be part of a forward-thinking company shaping the future of retail technology.
  • Work with a dynamic and collaborative team that values creativity and innovation.
  • Opportunity to contribute to cutting-edge projects and enhance your skills.
  • Competitive salary and benefits package.
  • Flexible work environment with opportunities for career growth.

Life at RadiusAI

RAI is a US based computer vision analytics company providing real-time data to help create greater operational efficiency in health care, retail, and critical infrastructure.
Thrive Here & What We Value1. Earlystage startup with a promising future2. Passionate about data and making a difference3. Small but nimble team who must adjust quickly to the changing landscape4. Collaborative work environment5. Emphasis on continuous learning and professional development6. Innovative products and solutions to revolutionize retail customer experience7. Cutting edge Viztel™ platform for realtime data8. Multicamera tracking, rapid, and cost-effective, edge processing, and customized offers9. Dynamic DevOps team that values collaboration and teamwork10. Strong commitment to innovation and staying up-to-date with industry trends in data engineering
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