Hire Kotlin developers to build and scale your software.

There is no single rate for Kotlin developers. Cost depends on the seniority you need, the engagement model you choose (adding developers to your team, a dedicated team, or a fixed-price project), how long the engagement runs and the scope of the work. For Kotlin work, the biggest drivers are how much of an existing codebase is still Java or XML views, the number of hardware and background integrations involved, and whether logic is also being shared with iOS through Kotlin Multiplatform. Share your requirements and we will come back with a quote for your situation.

You tell us the technology, seniority, role and team structure you need. We recommend Kotlin developer profiles that match those requirements, and you review the profiles and speak with the engineers yourself before anyone joins your team. When you interview, the areas worth testing are compose recomposition, state hoisting and stability; structured concurrency, dispatchers and cancellation with coroutines; viewModel, lifecycle and configuration change handling; room migrations and offline-first repositories; dependency injection with Hilt and modularizing a Gradle build; and what to share, and what to keep native, in Kotlin Multiplatform.

It depends on which engineers with the right skills are available when you get in touch, so we do not publish a fixed start date. Availability is part of the conversation when we recommend profiles, and the start date is agreed with you before the engagement begins.

Because you interview the engineers before anyone joins, fit is tested before work starts. If concerns come up once the engagement is running, raise them with us directly. How changes to the team are handled is set out in the terms you agree with us at the start.

A freelancer suits small, well-defined tasks you can manage yourself. A dedicated developer joins your team under your direction. A dedicated team adds several roles around your product, and a project-based team delivers a defined outcome end to end.

New screens should generally use Jetpack Compose, which is Google's recommended UI toolkit and needs far less boilerplate than XML layouts and adapters. Existing XML apps do not need a rewrite: ComposeView and AndroidView let both systems live in one app, so teams can move screen by screen as features change.

Kotlin Multiplatform shares Kotlin code such as networking, data models, persistence and business rules across Android, iOS and other targets, while each platform can keep its native UI. It suits teams that want native interfaces without duplicating logic. Compose Multiplatform can extend sharing to the UI layer when that trade-off fits.

Coroutines replace callbacks and RxJava chains with sequential-looking asynchronous code, and structured concurrency ties work to a lifecycle, so viewModelScope cancels requests when a screen closes. Flow and StateFlow stream data from Room or the network into the UI, which Compose collects in a lifecycle-aware way.

Incrementally. Kotlin and Java interoperate within the same module, so new features are written in Kotlin while existing classes are converted as they are touched. The IDE converter gives a starting point, but nullability annotations, idiomatic data classes and replacing callbacks with coroutines need manual review to get real benefit.

Usually MVVM or a unidirectional MVI variant following Google's app architecture guidance: a UI layer, ViewModels exposing state, and a data layer of repositories. Hilt handles dependency injection, and larger apps split into feature modules to keep build times and ownership manageable.

Yes. Native Kotlin has direct access to Bluetooth Low Energy, NFC, USB, CameraX, sensors and foreground services. These integrations need careful handling of runtime permissions, background execution limits and manufacturer-specific behavior, which is where native Android development tends to outperform cross-platform frameworks.

Yes. Kotlin runs on the JVM, so it works with Spring Boot and Ktor for APIs and services. Using Kotlin on both the Android app and the backend lets a team share data models and validation logic, and makes it easier for engineers to move between the two.