Lead Agentic Software Engineer

- Dedicate most of your time to writing, reviewing, and shipping production code on your primary platform. - Use agentic coding tools as a core part of your daily workflow — AI-assisted code review, automated test generation, AI-augmented development — while maintaining code quality, security, and human oversight. - Design and build features end-to-end, from technical approach through implementation, testing, and release. - Apply established architectural patterns to keep your code modular, maintainable, and testable. - Collaborate closely with Product Management and UX to take defined features from spec to shipped experience, surfacing technical tradeoffs and feasibility early. - Build and maintain high-performance 2D graphics editing and rendering capabilities for creative, design-focused features. - Optimize application performance — startup time, memory usage, responsiveness, rendering, battery life, and network efficiency. - Ensure application security through encryption, secure authentication, certificate validation, and secure credential/key management. - Write and maintain automated tests for your features. - Drive CI/CD automation, release quality, and deployment processes for your platform (App Store, Google Play, or desktop distribution). - Ship behind feature flags with progressive rollout and kill-switches, validating new behavior with production telemetry before ramping. - Own release health through telemetry — tracking crash-free rates, performance budgets, and defect trends. - Participate in code reviews and share knowledge with other engineers on your platform. - Evaluate emerging platform, AI, and tooling technologies, and recommend adoption where they'd meaningfully improve your team's work.

- 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-level expertise in one of: iOS, Android, or Electron/Angular. - Hands-on experience with graphics/rendering technologies relevant to your platform — e.g., Core Graphics/Metal on iOS, Canvas/Skia/Vulkan on Android, or Canvas/WebGL/Skia (CanvasKit) on Electron/Angular. - Experience developing backend APIs using at least one modern technology stack, such as .NET/ASP.NET Core, Node.js with NestJS/Express, Java with Spring Boot, or Python with FastAPI/Django. - At least a year of hands-on, pragmatic use of modern AI engineering tools (Claude Code, Cursor, Copilot, etc.), with practical experience integrating AI/LLM capabilities where relevant (agentic patterns, evals, latency/cost/reliability tradeoffs). - Expert-level proficiency in the language matching your primary platform (Swift, Kotlin, or TypeScript). - Strong expertise in the native UI framework for your platform (SwiftUI/UIKit, Jetpack Compose, or Electron/Angular). - Strong understanding of your platform's concurrency model (Swift Concurrency, Kotlin Coroutines/Flow, or modern asynchronous JavaScript/RxJS). - Experience with architectural patterns such as MVVM, Clean Architecture, MVI, or component-based architecture. - Experience consuming REST APIs. - Strong debugging, profiling, and performance optimization skills using platform-native tools (Xcode Instruments, Android Profiler, or browser/Electron devtools). - Experience with automated testing (unit, integration, UI/end-to-end) and CI/CD pipelines. - Working knowledge of secure credential storage (Keychain, Android Keystore, or equivalent). - Experience instrumenting applications with telemetry/observability tools (e.g., Datadog, Firebase, or platform-native logging).

Soft Skills

- Communicates clearly with engineering, product, and design — written and verbal. - Collaborates well with Product Management and UX, building alignment on scope and tradeoffs. - Shares knowledge readily and helps other engineers on the team grow. - Stays curious about new tools and techniques, especially in AI-assisted development, and brings practical improvements to the team.