Android Software Engineer

Bjak
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
£ 68K

Job location

Remote
Charing Cross, United Kingdom

Tech stack

Java
API
Artificial Intelligence
Android
Profiling
Software Debugging
HP Thin Clients
NoSQL
TensorFlow
SQL Databases
Data Logging
Large Language Models
Backend
Kotlin
Low Latency
Asynchronous Programming
Google Play
Api Management

Job description

A1 is building a proactive AI system that users rely on daily across conversations, tools, and workflows., As an Android Developer, AI Apps, 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

  • 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)

About the company

How We Work The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product Interview process If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews. Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite. We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

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