Lead Agentic Software Engineer, Connected Devices

We are seeking an experienced Lead Agentic Software Engineer, Connected Devices to build and ship features across our client applications, including iOS/iPadOS, Android, and Electron/Angular. This hands-on, code focused role centers on writing production code and using agentic coding tools to accelerate delivery without compromising quality. The position focuses on connecting our client apps with Cricut hardware over Bluetooth, BLE, USB, and Wi-Fi, so direct hardware-software integration experience is essential. You will bring deep expertise in one major client platform and work closely with Product Management and UX to turn defined features into shipped experiences. 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 secure, reliable communication between client applications and Cricut hardware over Bluetooth, BLE, USB, and Wi-Fi. 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 rate, 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. Strong expertise in device connectivity — Bluetooth Classic, BLE (including GATT design), USB, and Wi-Fi (provisioning, mDNS/SSDP discovery) — along with real-world experience handling pairing, interference, bandwidth limits, and reconnection. Working knowledge of embedded hardware integration: firmware constraints, command protocols, calibration, OTA updates, and error handling/telemetry. 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.