Mobile Application Developer

I am looking for a Mobile App developer engineer for an exciting role in London, the company are close Farringdon train station.

This firm builds a connected home beer ecosystem spanning hardware, mobile apps, cloud services, and eCommerce. they're engineering team delivers a reliable, high-quality product at global scale, solving complex challenges across IoT and distributed systems while balancing performance, usability, and real-world constraints.

We embrace AI-assisted development to improve productivity, code quality, and product innovation. Engineers are expected to use modern AI tools thoughtfully, stay current with advancements, and apply critical thinking to ensure secure, reliable outcomes. We prioritise practical experience over formal qualifications, seeking candidates with strong technical foundations, proven delivery of production systems, and the ability to communicate clear design decisions and trade-offs.

As the Native Mobile Application Developer, you will develop and maintain mobile applications that connect users to devices and services, using React Native and modern mobile architecture practices. The role focuses on building reliable, production-grade features, integrating backend APIs, and continuously improving performance and code quality. You will work closely with product, design, and engineering teams to deliver effective solutions, while actively leveraging AI-assisted development tools to enhance productivity, learning, and development standards.

This is a London, office-based role.

• Build and maintain mobile apps
• Integrate APIs and backend services
• Contribute to performance and reliability improvements
• Collaborate with designers and engineers

• Experience with mobile development in React Native
• Understanding the design of the mobile applications
• Demonstrated experience building real-world, production mobile apps
• Willingness to adopt AI-assisted development tools
• Curiosity about how AI can improve development workflows
• Ability to use AI tools effectively with guidance

• Delivers stable features
• Works effectively with Product and other stakeholders, asking questions and clarifying requirements to ensure the right problems are being solved
• Adopts AI-assisted development tools as part of day-to-day work, using them to support learning, productivity, and code quality