Mobile Android Engineer

🏢 Summary: Own and develop a production Android client for an AI-native assistant, with AI interactions central to the mobile experience. The role focuses on Kotlin development, AI API integration, performance, reliability and collaboration with backend and Machine Learning engineers in a remote-first global team. 🗂️ Requirements: 3+ years of professional Android development experience, Kotlin, AI functionality integration: LLM, vision or speech APIs, Asynchronous programming: Coroutines and Flow, REST or gRPC APIs, Structured data formats, Debugging and performance profiling, Handling latency, partial failures and non-deterministic behavior, ML Kit or lightweight on-device inference, Production app releases through Google Play Store 📃 Skills: Android, Kotlin, Java, LLM, Vision, Speech, Coroutines, Flow, REST, gRPC, SQL, NoSQL, TensorFlow, Lite, MLKit, Analytics, Logging, Profiling, GooglePlay 🏢 Description: About the product The product is an AI-native assistant designed to support everyday communication, organization, errands and complex workflows with minimal user input. It must reliably manage long-running processes, retain context, interact with external tools and complete real-world tasks despite the non-deterministic nature of modern AI models. Its objective is to make everyday activities significantly faster and easier for users. About the role As an Android Software Engineer, you will own the Android client experience and shape how AI behaves, responds and performs on mobile devices. This is not a thin-client or simple API-integration role. You will help build a production Android application in which AI interactions are central to the product experience, with a strong focus on performance, reliability and clarity. What you will do • Build and maintain production Android applications using Kotlin. • Integrate AI-powered features, including chat, vision, voice and recommendations, through backend APIs. • Design user experience patterns for AI interactions, including streaming responses, retries and partial results. • Optimize application performance, responsiveness and memory usage across AI-intensive workflows. • Implement analytics, logging and feedback collection to support AI evaluation and continuous product improvement. • Collaborate closely with backend and Machine Learning engineers on API contracts and system behavior. • Ensure application stability, security and scalability in production environments. What we are looking for • At least three years of professional Android development experience using Kotlin. • Hands-on experience integrating AI functionality such as LLM, vision or speech APIs. • Strong understanding of asynchronous programming, particularly Coroutines and Flow. • Familiarity with REST or gRPC APIs and structured data formats. • Strong debugging and performance-profiling skills. • Ability to build systems that must handle latency, partial failures and non-deterministic behavior. • Experience with ML Kit or lightweight on-device inference. • Experience shipping production applications through the Google Play Store. What success looks like • The Android application is stable, smooth and reliable in real-world use. • Performance remains responsive and efficient in terms of latency, memory and CPU usage. • Production issues are identified early, monitored effectively and resolved through clear root-cause analysis. Technology stack • Kotlin / Java • Coroutines / Flow • REST / gRPC • SQL / NoSQL • TensorFlow Lite and on-device inference Compensation and employment The position is offered under an employment contract. Compensation is determined individually based on professional experience and technical capability, scope of responsibility, location and relevant market benchmarks, and expected impact on the product and organization. The compensation package consists of a base salary and equity. Exceptional candidates may be considered flexibly. A company laptop will be provided where required for the role. Remote work and global collaboration The organization operates as a remote-first, globally distributed team. There is no fixed company-wide working schedule or requirement to follow one specific time zone. Team members are expected to maintain sufficient working-hours overlap with their immediate colleagues to collaborate effectively. You will work from Poland and collaborate with engineering, Machine Learning and product specialists across different regions. Poland-based employees join existing global teams rather than a separate local team. The exact reporting line and hiring manager will be confirmed during the recruitment process. How the team works The team works in small, highly capable and hands-on groups. Decisions are made collaboratively, while individuals are expected to take ownership, exercise sound judgment and execute independently. The team moves quickly while balancing product quality, experimentation and learning from real user behavior. There is no fixed hiring quota for this position. Candidates are selected based on technical and ownership standards rather than a predetermined number of openings. Recruitment process The standard recruitment process consists of up to four stages: • Technical assessment, where relevant to the candidate’s background. • HR interview. • One or more technical interviews. • Founder or leadership interview. Particularly strong candidates may be fast-tracked directly to the technical interview stage based on their experience and previous work. Applications are evaluated by members of the technical team. Interviews may be conducted virtually and, where relevant, onsite. The exact format and interviewers may vary, and decisions are communicated promptly.

🏢 Summary: Android Software Engineer role focused on building a high-performance, reliable AI-powered mobile app. The position involves integrating chat, image, voice, and recommendation capabilities through backend APIs while optimizing performance, stability, and user experience. 🗂️ Requirements: 3+ years of Android development experience, Kotlin experience, AI feature integration experience, Coroutines and Flow knowledge, REST or gRPC API experience, Structured data experience, Debugging skills, Performance optimization skills, Ability to work with delayed or unpredictable system results, Google Play publishing experience 📃 Skills: Android, Kotlin, Java, SQL, NoSQL, Coroutines, Flow, REST, gRPC, TensorFlowLite, MLKit, GooglePlay 🏢 Description: About Us More than 5 billion people use everyday apps like email, notes, and task managers. Most of these apps do not use AI in a smart way. We want to build an AI assistant that helps people with conversations, daily tasks, planning, and work. It should be easy to use and need very little input from users. Our product is designed to be reliable for long tasks, remember important information, and help users finish real tasks. It can think through several steps, work with other tools, and perform well even when AI results are not always the same. Our goal is to help people complete daily tasks much faster while making the experience simple and enjoyable. Role As an Android Software Engineer, you will build and improve our Android app. You will make sure AI works well on mobile devices and gives users a smooth experience. This is not just a simple mobile app. AI is a key part of the product, so performance, reliability, and user experience are very important. Main Responsibilities Build and maintain Android applications using Kotlin. Add AI features such as chat, image, voice, and recommendation tools through backend APIs. Create user-friendly AI experiences, including live responses, retries, and partial results. Improve app speed, memory use, and overall performance. Add analytics, logging, and user feedback tools to help improve AI features. Work closely with backend and machine learning engineers. Keep the app stable, secure, and ready to grow. Requirements At least 3 years of Android development experience with Kotlin. Experience working with AI features, such as language models, image, or speech APIs. Good knowledge of asynchronous programming with Coroutines and Flow. Experience using REST or gRPC APIs and structured data. Strong debugging and performance optimization skills. Comfortable working with systems where delays or unexpected results can happen. Experience with ML Kit or TensorFlow Lite is a plus. Experience publishing Android apps on Google Play. Expected Results Build Android apps that are stable, smooth, and reliable. Create fast applications with good memory and CPU performance. Find and fix production issues quickly using monitoring and clear problem analysis. Technologies Kotlin / Java SQL / NoSQL TensorFlow Lite How We Work We believe the best products are created by small and highly skilled teams. We work closely together, make decisions as a team, and move quickly. We focus on delivering high-quality work while always learning and improving. We expect team members to work independently, make good decisions, and stay organized. Our goal is to build an AI product that people enjoy using every day. Interview Process If your experience matches what we are looking for, we will invite you to 3 or 4 interviews. Our technical team reviews all applications. Interviews are held online or in person. We try to keep the process fast and clear. If you show the skills and attitude we need, we will make you an offer to join our team. We want people who are excited to help build AI products that can improve daily life for millions of users.

🏢 Summary: Build and maintain a production Android application for an AI-native personal assistant, with AI-powered chat, voice, and vision experiences at its core. The remote-first role involves collaborating with backend and ML engineers to deliver reliable, high-performance mobile features. 🗂️ Requirements: 3+ years of Android development experience, Kotlin, Production integration of AI/LLM, vision, or speech APIs, Coroutines, Flow, REST/gRPC APIs, Asynchronous programming, Android performance optimization and debugging, Experience shipping production Android applications, Ability to work in a fast-paced startup environment with evolving AI technologies 📃 Skills: Android, Kotlin, AI, LLM, Vision, Speech, Coroutines, Flow, REST, gRPC, TensorFlow, MLKit, SQL, NoSQL 🏢 Description: Our client is building an AI-native personal assistant designed to help users manage conversations, tasks, and everyday workflows with minimal prompting. As an Android Software Engineer, you’ll play a key role in shaping the mobile experience, building a production Android application where AI is at the core of the product. RESPONSIBILITIES Develop and maintain Android applications using Kotlin Integrate AI-powered features (chat, voice, vision) via backend APIs Design intuitive UX for AI interactions, including streaming responses and error handling Optimize app performance, responsiveness, and reliability Collaborate closely with backend and ML engineers to deliver production-ready features REQUIREMENTS 3+ years of Android development experience with Kotlin Experience integrating AI/LLM, vision, or speech APIs into production applications Strong knowledge of Coroutines, Flow, REST/gRPC APIs, and asynchronous programming Experience optimizing performance, debugging, and shipping production Android applications Comfortable working in fast-paced startup environments with evolving AI technologies NICE TO HAVE Experience with TensorFlow Lite, ML Kit, or on-device inference Published apps on the Google Play Store Familiarity with SQL/NoSQL databases WHAT THEY OFFER EOR contract Cash and equity compensation Remote-first setup with flexible hours as part of a distributed, global team Generous paid time off Company laptop provided A quick hiring process: 3, occasionally 4 interviews, with fast decisions afterwards ABOUT THE COMPANY They’re an early-stage AI company building a proactive assistant aimed at the 5+ billion people currently stuck using non-AI-native tools for everyday things – email, notes, tasks. The focus is squarely on reliability: long-running workflows, persistent context, and tasks that actually get done, even though the underlying models aren’t fully deterministic. Stage: Early-stage AI startup Focus: Proactive AI assistant for everyday productivity Work mode: Remote-first, distributed team

🏢 Summary: Build and scale native Android features for an international consumer fintech platform. The role focuses on reliable payment and account-management journeys, REST API integrations, mobile performance, and data-driven product improvements. 🗂️ Requirements: 3+ years of commercial Android development experience, Kotlin proficiency, Experience shipping production Android apps at scale, Strong Android fundamentals, Jetpack components expertise, Coroutines and Kotlin Flow expertise, Modern Android architecture experience (MVVM/MVI), REST API integration experience, Production issue debugging experience, UI/UX, edge-case, and state-management expertise 📃 Skills: Android, Kotlin, Jetpack, Coroutines, Flow, MVVM, MVI, REST, Telemetry, Analytics 🏢 Description: Overview We are looking for a product-minded Android Software Engineer to build and scale features for an international consumer fintech platform. You will work on clean user journeys, high performance, and reliable mobile architectures for a large user base. Key Responsibilities Develop and deploy native Android features using Kotlin. Design clean mobile flows for payments, financial transactions, and account management. Collaborate with product and design teams to simplify complex financial workflows. Integrate backend REST APIs to build stable, secure, and responsive user flows. Optimize app performance, including crash rates, loading states, memory footprint, and UI responsiveness. Implement smart, data-driven mobile features that improve the overall user experience. Use telemetry, analytics, and crash reporting tools to continuously iterate on product quality. Qualifications 3+ years of commercial Android development experience using Kotlin. Proven track record of shipping production apps at scale with solid Android fundamentals. Strong proficiency in Jetpack components, Coroutines, Kotlin Flow, and modern Android architecture (MVVM/MVI). Practical experience with REST API integration and debugging complex production issues. Sharp eye for UI/UX details, edge cases, and smooth state management. High ownership, fast execution speed, and strong code quality standards.