Lead Agentic Software Engineer, Connected Devices

• 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 theyd meaningfully improve your teams work. 

Qualifications :

• Bachelors or Masters 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 platforms 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. 

Remote Work :

No

Employment Type :

Full-time