# Senior AI Engineer (Android) at Backbase

> Hybrid · Poland · Senior · Mobile · open. Source: https://alderhq.app/jobs/greenhouse%3Aworkatbackbase%3A8210581 (read 2026-11-04).

## Facts (observed)

- Company: [Backbase](https://alderhq.app/companies/backbase)
- Location text: Krakow; Krakow
- Where it can be done from (inferred): Hybrid · Poland (evidence: "Location: Krakow; Krakow")
- Posted: 2026-09-28 (37 days ago)
- First seen by alder: 2026-11-03 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/workatbackbase/jobs/8210581
- Skills listed (inferred): Kotlin, Android, LLMs, Testing

## Pay and sponsorship

- Posted pay: not posted
- H-1B filings at this company for similar roles, FY26: 1 ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance))
- Recognised sponsor (NL): registered as "Backbase B.V." (checked 2026-11-03, [register](https://ind.nl/en/public-register-recognised-sponsors/public-register-regular-labour-and-highly-skilled-migrants))

## Description (the employer's text)

### About the Role

As a Senior Applied AI Engineer (Android) within our central Engineering Ops group, you will shape and modernize the Android development experience across R&D. You will operate as a domain expert, defining and driving engineering standards, migrating release infrastructure, and leveraging AI tools to accelerate mobile delivery.

Rather than working inside a single isolated feature squad, you will drive foundational changes—such as unifying release pipelines and establishing multi-module library standards—that directly impact the daily workflows of over 600 engineers.

### Role Responsibilities

- Drive Platform Engineering & Release Synchronization: Migrate mobile CI/CD pipelines from Bitrise to GitHub Actions, integrate Android releases into shared Champagne release workflows, and synchronize deployment chains with backend and frontend teams.
- Define Golden Standards: Design scalable multi-module architectures, SDK/framework integrations, and reusable design system components. Establish rigorous standards for accessibility (a11y), security, and runtime performance.
- Leverage AI Acceleration: Integrate LLM-assisted workflows, AI coding tools, and automated testing utilities into everyday engineering tasks to boost delivery speed and efficiency.
- Enable R&D Adoption: Partner directly with pilot teams and cross-functional stakeholders to guide, test, and drive the seamless adoption of new SDLC practices.
### Required Qualifications

- Android Architecture & Depth: Expert-level mastery of Kotlin, Jetpack Compose, modern architecture patterns (MVVM/MVI), Coroutines, and Flow. Demonstrated experience architecting multi-module libraries and SDKs.
- Modern CI/CD & Testing Infrastructure: Hands-on experience building and maintaining CI/CD pipelines (GitHub Actions). Strong commitment to test-driven development (TDD), unit testing, and UI automation (JUnit, Mockito, Espresso).
- Pragmatic AI Application: Practical familiarity with AI development tools, efficient prompt crafting, and choosing the right model architectures to optimize mobile engineering workflows.
- Systems Mindset & Leadership: Proven track record of evaluating how platform changes ripple across teams. Ability to articulate technical direction clearly and guide senior peers through adoption.
### Why Join Us?

- High-Leverage Engineering Impact: Your architectural decisions and tooling improvements will empower 600+ engineers across the entire global R&D organization.
- Generous Growth & Well-being: €1,000 annual self-development allowance, clear career progression pathways, and dedicated study time. Private healthcare (Luxmed) and Headspace subscriptions are fully covered.
- Vibrant Kraków Work Culture: Modern hybrid setup with a fully stocked office, catered daily lunches, weekly community breakfasts, and top-tier Apple hardware.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aworkatbackbase%3A8210581 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.