Jobverse
Machine Learning Engineer · Poland

Senior AI Engineer

workatbackbase·Krakow

View & apply on company site →

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.
View & apply on company site →

Sourced from a public career listing. Jobverse is an aggregator, not the employer.

← All Machine Learning Engineer jobs