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At European Tech Recruit, our sectors cover a wide range of industries within the field of technology.
At European Recruitment, our sectors cover a wide range of industries within the field of technology
At European Recruitment, our sectors cover a wide
range of industries within the field of technology
At European Recruitment, our sectors cover a wide
range of industries within the field of technology
Client services
Learn about the range of client services we offer at European Tech Recruit, and browse through our case sudies.
At European Recruitment, our sectors cover a wide range of industries within the field of technology
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Learn about European Tech Recruit's mission, values, our team, and our commitment to DE&I.
At European Recruitment, our sectors cover a wide range of industries within the field of technology
Android Software Engineer
Role
As an Android Software Engineer, you own the Android client experience, how AI feels, behaves, and performs on mobile devices. This is not a thin client role. You will build a production Android application where AI interactions are core to the product, and performance, reliability, and clarity matter.
Focus
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Build and maintain production Android apps using Kotlin.
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Integrate AI-powered features (chat, vision, voice, recommendations) via backend APIs.
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Design UX patterns for AI interactions, including streaming responses, retries, and partial results.
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Optimize performance, memory usage, and responsiveness for AI-heavy flows.
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Implement analytics, logging, and feedback capture to support AI evaluation and iteration.
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Collaborate closely with backend and ML engineers on API contracts and system behavior.
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Ensure app stability, security, and scalability in production environments.
Ideal Experiences
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3+ years of Android development experience using Kotlin.
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Hands-on experience integrating AI features (e.g. LLM, vision, speech APIs).
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Strong understanding of asynchronous programming (Coroutines, Flow).
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Familiarity with REST or gRPC APIs and structured data formats.
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Strong debugging and performance profiling skills.
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Comfort building in environments with latency, partial failure, and non-deterministic behavior.
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Experience with MLKit or light on-device inference.
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Published production apps on the Google Play Store.
Outcomes
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Stable, smooth, and reliable real-world use android applications.
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Performance is optimized: responsive, low-latency, and efficient on memory and CPU.
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Production issues are detected early, monitored effectively, and resolved with clear root-cause analysis.
Tech Stack
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Kotlin / Java
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SQL / noSQL
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TensorFlow Lite (on-device inference)
Apply Now
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