Android Software Engineer

Android Software Engineer

London

Full time, Hybrid

The Company:

There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. The mission is to build a proactive smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows with minimal prompting.

The product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behaviour. The objective is to help users enjoy completing daily tasks in over 90% reduced time.

The 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.

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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.
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Requirements:

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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.
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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.
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Tech Stack:

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• Kotlin / Java
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• SQL / noSQL
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• TensorFlow Lite (on-device inference)
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The Team:

The best products today in the world were built by small, world class teams. You will be joining a high talent density and hands-on team who make decisions collectively, move at rapid speed, striking a balance between shipping high-quality work and learning. Joining the team requires the ability to bring structure, exercise judgment, and execute independently. The collective goal is to give users a truly magical product.