Summary
✨ AI‑Generated
A senior mobile AI engineer is sought to modernize iOS development workflows, define scalable architectures, improve automation pipelines, and integrate AI-assisted engineering practices.
Highlights
Lead modern mobile engineering practices, shape architecture standards, and use AI tools to improve software delivery workflows.
Description
About The Role
As a Senior Applied AI Engineer (iOS) within our central Engineering Ops organization, you will lead the evolution of modern iOS development practices.
You will bridge high-level architectural strategy with practical implementation, establishing golden standards and streamlining tooling across R&D.
In this role, you will modernize delivery workflows by bringing iOS onto shared automated release chains and leveraging AI tooling to accelerate framework and app generation.
Role Responsibilities
Unify Mobile SDLC Pipelines: Spearhead the transition of iOS release workflows to GitHub Actions, aligning mobile deployments directly with frontend and backend release chains.Architect Mobile Standards: Define scalable iOS architecture using Swift, SwiftUI, and UIKit components.
Establish firm guidelines around API/ABI stability, framework distribution, security, and accessibility (a11y).Apply AI to iOS Delivery: Integrate AI coding assistants, automated tooling, and custom prompt workflows into the development lifecycle to accelerate client-side engineering.Guide & Scale R&D Teams: Collaborate with pilot teams and Engineering Ops leads to mentor engineers, demonstrate new practices, and ensure smooth organizational adoption.
Required Qualifications
iOS Expertise & Concurrency: Deep technical mastery of Swift, SwiftUI, UIKit, Swift concurrency (async/await), and modular dependency management (Swift Package Manager / CocoaPods).
Experience designing stable Framework APIs/ABIs.Production Testing & CI/CD: Demonstrated experience configuring CI/CD automation using GitHub Actions or Xcode Cloud.
Strong focus on testable software design, unit testing, and UI test suites.Applied AI Capabilities: Demonstrated skill in using LLM workflows, prompt optimization, and AI tooling to accelerate mobile delivery tasks.Strategic & Collaborative Approach: Proactive mindset with a big-picture understanding of how mobile infrastructure impacts multi-team ecosystems.
Exceptional ability to communicate complex technical concepts clearly.
Why Join Us?
R&D-Wide Visibility: Build core standards, release pipelines, and frameworks that support approximately 600 R&D engineers worldwide.Comprehensive Benefits Package: €1,000 annual learning budget, competitive compensation with annual performance bonuses, and structured progression paths.
Includes Luxmed private medical coverage and Headspace.Kraków Office & Culture: Flexible hybrid work, premium MacBook hardware, team integration events, daily lunches, and Wednesday breakfasts.
