Senior Android Developer

We are seeking a Senior Mobile App Developer with extensive experience in Kotlin Multiplatform and native Android development using Kotlin. This full-time, long-term remote position offers the opportunity to lead mobile development for an innovative application that integrates real-world interactions with location and proximity technologies. The role involves hands-on engineering, solving complex technical challenges, and enhancing workflows that leverage AI coding tools and autonomous coding agents. You will also mentor junior team members and contribute to building a collaborative, knowledge-sharing environment.

Key Responsibilities

- Develop, maintain, and enhance the Android application using Kotlin and Kotlin Multiplatform.
- Design shared application logic and integrate it with platform-specific features.
- Implement and troubleshoot location and proximity functionalities involving GPS, Bluetooth Low Energy (BLE), Ultra-Wideband (UWB), and related technologies.
- Address mobile development challenges such as permissions, background execution, battery optimization, connectivity, and device variability.
- Utilize AI coding assistants and autonomous coding agents extensively for feature implementation, defect investigation, code refactoring, and testing support.
- Establish and improve agentic development workflows, including task decomposition, project context management, automated checks, and review processes.
- Review and validate AI-generated code, ensuring correctness, maintainability, security, and performance.
- Test features on real devices to identify and resolve issues beyond automated testing.
- Mentor junior developers through demonstrations, pair programming, and clear explanations.
- Document technical decisions and share reusable knowledge within the team.

Required Qualifications

- Proven senior-level experience delivering and maintaining production Android applications using Kotlin.
- Strong expertise in Kotlin Multiplatform, including shared codebases and platform-specific integrations.
- Deep understanding of Android architecture components, Jetpack Compose, coroutines, Flow, application lifecycle, and state management.
- Excellent debugging skills, capable of diagnosing issues across application code, APIs, and device behaviors.
- Significant hands-on experience with AI coding tools to develop and deliver software.
- Keen interest in agentic coding and ability to establish effective workflows involving coding agents.
- Ability to critically assess AI-generated solutions and justify implementation choices.
- Patience and skill in mentoring less experienced team members.
- Self-motivated, able to work independently in a remote environment, communicate progress clearly, and take ownership of outcomes.
- Availability for a prompt start and commitment to a long-term role.

Preferred Qualifications and Benefits

- Experience with GPS positioning, location accuracy, sensor data, and proximity detection.
- Knowledge of BLE discovery, advertising, connections, and signal strength limitations.
- Familiarity with UWB ranging, distance measurement, direction estimation, and hardware compatibility.
- Understanding of NFC and other device-to-device communication technologies.
- Experience building automated development and testing workflows that combine human oversight with coding agents.

What We Offer

- A fully remote, full-time position with a long-term outlook.
- Competitive compensation based on experience, technical expertise, and responsibilities.
- Ownership of impactful mobile development projects.
- The chance to influence how AI and coding agents are integrated into development workflows.
- Collaboration with a motivated internal team eager to learn from your expertise.

Remote Working Arrangement

Our remote work setup includes a time-tracking system that monitors mouse and keyboard activity and captures periodic screenshots. This monitoring is part of the working arrangement and will be explained during the recruitment process. Candidates should be comfortable with this setup.

Application Instructions

Please submit your CV along with a brief overview of relevant projects. Include details about your role in Android and Kotlin Multiplatform development, practical experience with GPS, BLE, UWB, or similar technologies, and the AI coding tools and workflows you have used. Describe how these tools helped you deliver working applications or features. Highlight any mentoring experience with junior developers or colleagues learning AI-assisted development. Also, provide your earliest possible start date and salary expectations. Public portfolios or GitHub links are welcome if available.