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Текст:
TL;DR
Mobile Software Engineer (AI): Building AI-powered quality platforms, testing frameworks, and scalable infrastructure for Airbnb’s native iOS and Android ecosystems with an accent on Swift, Kotlin, mobile test automation, and LLM integration. Focus on designing autonomous test discovery, scaling distributed testing systems, reducing CI/CD build latency, and improving reliability across complex mobile codebases.
Company
Airbnb operates a global platform for stays and experiences, connecting hosts and guests across communities worldwide. Offices are located in Brazil.
What you will do
- Build AI-native agents that automate repetitive testing tasks and provide intelligent feedback across iOS and Android.
- Develop scalable testing platforms, infrastructure, and environments used by mobile engineering teams.
- Design and maintain high-performance testing frameworks in Swift and Kotlin.
- Integrate LLM-powered solutions for autonomous test discovery and intelligent orchestration.
- Scale distributed testing systems to reduce CI/CD build latency and improve operational reliability.
- Collaborate with mobile, Research, and Data Science teams on next-generation quality engineering tools.
Requirements
- Up to 4+ years of professional mobile development experience in a fast-paced technology environment.
- Working knowledge of Kotlin with the Android SDK and Swift with the iOS SDK.
- Experience with Gradle, Xcode, and mobile test automation frameworks such as Espresso, Compose Test, or XCUITest.
- Experience building or extending mobile infrastructure, tools, or SDKs for other engineers.
- Ability to navigate complex codebases and own features or components from implementation through deployment.
- Strong communication and cross-functional collaboration skills.
Nice to have
- Interest in applying AI and LLMs to software quality and engineering challenges.
- Experience with modern mobile architecture, modularity, testability, and fault-tolerant systems.
Culture & Benefits
- Work within a Quality Platform group spanning Quality Engineering, Infrastructure, and Applied AI.
- Participate in deep-dive code reviews and the Quality Guild.
- Collaborate with diverse technical and product teams.
- Inclusive application and interview processes with reasonable accommodations available for candidates with disabilities.
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