Role PurposeThis role exists to be the connective tissue between cross-functional teams, translating complex system trade-offs into clear decisions and embedding AI-assisted development into how we build. This is a role for an engineer who thinks in systems, executes with precision, and communicates with clarity.
Key Responsibilities- Champion AI-assisted development across architecture, design, and implementation-driving adoption and establishing the practices that make it last.
- Define and own best practices for AI-assisted system design, code generation, documentation, and testing.
- Assess and integrate AI tooling into the development lifecycle with a focus on security, scalability, and long-term maintainability.
- Assess incoming feature requests and determine technical feasibility within the Kotlin Multiplatform codebase.
- Own architectural scoping-articulating trade-offs and risks, particularly at the boundary between shared and platform-specific code.
- Design and document scalable architectures that clearly define module boundaries, data flow, threading models, and dependency injection strategies.
- Lead KMP technical decision-making, keeping solutions aligned with iOS and Android platform constraints and best practices.
- Define and execute migration strategies from legacy implementations to shared KMP modules where the tradeoff is justified.
- Coordinate cross-functional dependencies across firmware, backend, Unity, and QA to maintain system-wide consistency and delivery commitments.
- Build and maintain a living knowledge base-architecture documentation, system diagrams, and technical specs that teams actually use.
- Continuously improve developer experience through smarter tooling, build optimization, CI/CD, and modularization.
- Set and uphold high standards for code quality, testability, and maintainability across shared and platform-specific code.
RequirementsRole Qualifications- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 8+ years of mobile development experience with deep familiarity across both Android and iOS ecosystems.
- 3+ years shipping Kotlin Multiplatform in production.
- Deep command of Clean Architecture, modularization, and separation of concerns in multi-platform systems.
- Proven experience designing shared domain and data layers with well-defined boundaries between shared logic and platform-specific UI.
- Strong command of Kotlin Coroutines, Flow (StateFlow, SharedFlow), and cross-platform concurrency models.
- Hands-on experience with dependency injection (Koin or equivalent) in multi-module environments.
- Familiarity with Compose Multiplatform and native UI frameworks (SwiftUI/UIKit, Jetpack Compose).
- Experience architecting networking and data layers in a multiplatform context, including offline-first design, sync strategies, and caching.
- Strong understanding of KMP-iOS interoperability and the nuances of designing APIs for Swift consumers.
- Solid experience with Gradle, dependency management, and CI/CD pipelines for multi-platform projects.
- Experience building device-connected applications (BLE, Wi-Fi, TCP) with a focus on reliability and real-time data handling.
- Proven ability to translate complex technical decisions into clear specifications that align cross-functional teams.
- Strong communicator who can cut through complexity and align stakeholders across mobile, backend, firmware, and QA.
- Substantial hands-on experience with AI-assisted development tools and a track record of integrating them meaningfully into engineering workflows.
- Sharp judgment when evaluating AI-generated outputs-knowing when to trust, when to verify, and when to rewrite.
