Summary
✨ AI‑Generated
Build and own a production Android application where AI interactions are central to the mobile experience. You will work with Kotlin or Java, SQL/NoSQL data stores, and on-device inference technologies, with responsibility for how intelligent features perform and behave on mobile devices.
Highlights
Own the Android client experience for an AI-focused mobile application, working on production software where on-device intelligence, performance, reliability, and user experience are core concerns.
Description
Project description
About the Project: Over 5 billion people use traditional, non-AI-native apps daily for email, notes, tasks, and calendars.
Our client's mission is to build proactive applications for everyday users who aren't accustomed to complex prompting.
Their platform aims to bring intelligence to conversations, errands, organization, and workflows effortlessly.
By focusing on persistent context, real-world task execution, and high reliability for long-running workflows, their app minimizes AI hallucinations—with the ultimate objective of organizing users' lives so they can focus on what truly matters.
Technical requirements
Kotlin / JavaSQL / noSQLTensorFlow Lite (on-device inference)
Responsibilities
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.
Must have
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.
Recruitment process
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.
Please note that due to the volume of applications, we will only contact selected candidates.
Got questions?
To learn more details about this job contact Joanna at jgrabowska@maximaeurope.com
