Android Software Engineer
Burton Recruitment · London · posted 38 days ago
Going rate £54,700UK median £56,914London £75,296
Home Office going rates from
Occupation
2134Programmers and software development professionals
Going rate for this occupation: £54,700 · UK median pay £56,914
Home Office going rates from
Where this salary sits
- UK pay for this occupation
- This role£70,000 to £100,000stated
- Going rate£54,700
- UK median£56,914
View these figures as a table
| Percentile | Pay |
|---|---|
| 10th | £32,835 |
| 25th | £42,289 |
| 50th | £56,914 |
| 75th | £75,794 |
| 90th | £102,860 |
| Going rate | £54,700 |
| UK median | £56,914 |
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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.
Build and maintain production Android apps using Kotlin. Integrate AI-powered features (chat, vision, voice, recommendations) via backend APIs. Design UX patterns for AI interactions, including streaming responses, retries, and partial results. Optimize performance, memory usage, and responsiveness for AI-heavy flows. Implement analytics, logging, and feedback capture to support AI evaluation and iteration. Collaborate closely with backend and ML engineers on API contracts and system behavior. Ensure app stability, security, and scalability in production environments.
Requirements:
3+ years of Android development experience using Kotlin. Hands-on experience integrating AI features (e.g. LLM, vision, speech APIs). Strong understanding of asynchronous programming (Coroutines, Flow). Familiarity with REST or gRPC APIs and structured data formats. Strong debugging and performance profiling skills. Comfort building in environments with latency, partial failure, and non-deterministic behavior. Experience with MLKit or light on-device inference. Published production apps on the Google Play Store.
Outcomes:
Stable, smooth, and reliable real-world use android applications. Performance is optimized: responsive, low-latency, and efficient on memory and CPU. Production issues are detected early, monitored effectively, and resolved with clear root-cause analysis.
Tech Stack:
Kotlin / Java SQL / noSQL TensorFlow Lite (on-device inference)
The Team:
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