Lead Agentic Software Engineer

Responsibilities

• Write, review, and ship production client-platform code and deliver features from technical approach through release.
• Build and maintain high-performance 2D graphics editing and rendering capabilities for creative features.
• Optimize application startup time, memory usage, responsiveness, rendering, battery life, and network efficiency.
• Implement application security using encryption, secure authentication, certificate validation, and secure credential or key management.
• Develop automated tests, CI/CD automation, release processes, feature-flagged rollouts, and deployment workflows for App Store, Google Play, or desktop distribution.
• Own release health through telemetry, including crash-free rates, performance budgets, and defect trends.
• Collaborate with Product Management, UX, design, and engineering teams while sharing knowledge and mentoring other engineers.
• Evaluate and recommend platform, AI, and tooling technologies that improve engineering effectiveness.

Requirements

• Bachelor's or master's degree in Computer Science, Software Engineering, or a related field.
• 8+ years of professional client/frontend software development experience with deep production expertise in iOS, Android, or Electron/Angular.
• Hands-on experience with platform-relevant graphics and rendering technologies such as Core Graphics, Metal, Canvas, Skia, Vulkan, WebGL, or CanvasKit.
• Experience developing backend APIs with a modern stack such as .NET/ASP.NET Core, Node.js with NestJS/Express, Java with Spring Boot, or Python with FastAPI/Django.
• At least one year of practical experience using modern AI engineering tools such as Claude Code, Cursor, or Copilot, including relevant AI/LLM integration experience.
• Expert proficiency in Swift, Kotlin, or TypeScript and strong expertise with SwiftUI/UIKit, Jetpack Compose, or Electron/Angular.
• Strong understanding of Swift Concurrency, Kotlin Coroutines/Flow, or modern asynchronous JavaScript/RxJS.
• Experience with MVVM, Clean Architecture, MVI, or component-based architecture; REST API consumption; automated testing; and CI/CD pipelines.
• Strong debugging, profiling, and performance optimization skills using Xcode Instruments, Android Profiler, or browser/Electron developer tools.
• Working knowledge of Keychain, Android Keystore, or equivalent secure credential storage, plus application telemetry and observability tools such as Datadog or Firebase.
• Clear communication, effective collaboration with product and UX, knowledge sharing, and curiosity about AI-assisted development are expected.