Senior AI Applied Software Engineer (iOS)

At Backbase, we build secure, enterprise-grade digital banking software used every day by millions of people worldwide. As a Senior AI Applied Engineer with mobile depth, you will help design, build, and evolve the Backbase Mobile Platform and the product capabilities around it.

You bring deep expertise in iOS, Android, or both. That expertise is the strong vertical of your T-shaped profile - not a boundary around the work you can do. Using AI-assisted and agentic ways of working, you will contribute across mobile platforms and the wider product stack, including UI, delivery pipelines, testing, and documentation.

This role combines mobile craftsmanship with broad product ownership. We are looking for an engineer who can make sound platform-specific decisions, use agents to move effectively through unfamiliar technology, and remain accountable for the quality, security, and business outcome of everything they ship.

You will join a multidisciplinary squad responsible for delivering end-to-end digital banking capabilities, from initial discovery and technical design to release, adoption, and production support. You will solve complex product and engineering problems that cross platform and system boundaries.

As a senior engineer, you will be a technical authority within your area of depth and a force multiplier for the wider team. You will shape architecture, review critical changes, mentor peers, lead complex investigations, and create reusable patterns and automation that improve how teams work.

AI agents are a normal part of your engineering workflow. You will use them to investigate codebases, compare implementation options, create prototypes, generate and maintain tests, diagnose failures, automate repetitive work, and deliver changes beyond your strongest platform. You will define clear constraints and success criteria, evaluate the evidence, and never treat generated output as inherently correct.

Who you are

You have 5–7+ years of professional software engineering experience building complex products and have operated effectively at senior level.

You have deep production expertise in at least one native mobile ecosystem:

iOS: Swift, SwiftUI, UIKit, structured concurrency, Apple frameworks, Xcode, and the iOS build and release lifecycle; and/or

Android: Kotlin, Jetpack Compose, Android SDK and Jetpack libraries, Coroutines and Flow, Gradle, and the Android build and release lifecycle.

You have designed scalable mobile architectures using patterns such as MVI, MVVM, VIPER, Clean Architecture, or equivalent approaches.

You have experience building modular applications, reusable libraries, frameworks, or SDKs with stable and well-designed APIs.

You are strong in automated testing, debugging, profiling, CI/CD, release automation, and mobile non-functional requirements.

You have hands-on experience using AI coding assistants or agents in production software delivery and can show how they improved an outcome—not only how they generated code.

You understand the limitations and risks of agentic development, including incorrect output, missing context, insecure code, dependency risk, privacy, and over-automation, and you use verification and human review accordingly.

You are willing and able to work across both mobile platforms and adjacent systems. Existing depth in both iOS and Android is highly valued, but deep expertise in one plus evidence of effective cross-platform contribution is sufficient.

You turn ambiguous business problems into testable technical plans, anticipate cross-system impacts, and communicate trade-offs clearly to technical and non-technical stakeholders.

You take ownership of outcomes, support colleagues and customers when needed, and balance rapid delivery with long-term platform health.

You communicate effectively in English and work well in an international, multidisciplinary environment.

Bonus points

Strong production experience in both native iOS and native Android.

Experience with Kotlin Multiplatform, Compose Multiplatform, or another cross-platform mobile technology.

Experience building AI-enabled product capabilities using model APIs, retrieval, evaluation datasets, guardrails, observability, or human-in-the-loop workflows.

Experience with mobile security, accessibility, performance optimisation, SDK development, or enterprise application distribution.

Experience in banking, fintech, or another regulated environment.

Experience with cloud services, backend APIs, web applications, or data pipelines that support mobile products.