Cross-platform
We ask candidates to explain the bridge to native capabilities, diagnose a slow screen and decide when shared code should give way to a platform-specific implementation.
- React Native
- Flutter
UK, Europe, USA
Mobile engineers screened for platform depth, product quality and reliable integration with real devices and services.
Technical screening by developers and CTOs is included.

We recruit mobile developers across React Native, Flutter, Swift and Kotlin. For connected products, we can also screen for Bluetooth and IoT integration experience rather than treating mobile as interface work alone.
When to hire Mobile developers: A native iOS or Android product team. A cross-platform application build. A connected-device or IoT mobile product.
We separate native platform knowledge, cross-platform delivery and connected-device requirements so the shortlist reflects how the application is actually built.
We ask candidates to explain the bridge to native capabilities, diagnose a slow screen and decide when shared code should give way to a platform-specific implementation.
We test lifecycle, concurrency, state restoration and platform conventions with questions about background work, memory pressure and reliable release behaviour.
We ask how they handle discovery, pairing, dropped connections, permissions and inconsistent device state, including how those failures are reproduced and observed.
Mobile engineers need patience with device-specific failures, respect for release quality and the ability to explain platform constraints clearly to product, design and backend colleagues.
The assessment covers the platform behaviour and release constraints that distinguish production mobile work from general frontend development.
Lifecycle, performance, state, networking and native platform conventions.
Testing, accessibility, offline behaviour and collaboration with design.
API, Bluetooth or device communication, failure handling and production debugging.
Tool names are not enough. Across every role, we look for technical depth, disciplined use of AI and an honest approach to solving unfamiliar problems.
We keep asking why and how until we reach the underlying behaviour. Candidates should understand what their framework, runtime, database, browser, cloud service or design tool is doing for them, how they work behind the scenes (and why), and how they would investigate a failure without relying on copying fixes from ChatGPT.
We expect candidates to use AI productively, but never as a substitute for judgement. They need to explain how they verify generated code, designs and tests, protect confidential data, catch unsafe assumptions and remain accountable for the result. We expect them to use MCPs, skills, and goals. So basically - we are looking for structured AI-assisted work, not vibe coding, vibe designing or vibe testing.
Strong candidates have a can-do mindset and will investigate, experiment and learn when the answer is not obvious. At the same time, they are fair and transparent about what they know, what they have not done before and when they need support.
Give us a few details about the role and your hiring plans. We'll assess your needs and get back to you with a practical next step.
Yes. Our completed briefs include Swift, Kotlin, React Native and Flutter.
Yes. We have recruited for roles involving Bluetooth and connected-product requirements and can include that experience in the technical assessment.
Yes. Depending on the role, we can assess unit, integration and UI testing, Appium or Maestro, cross-device behaviour, store releases and practical production debugging.