주요업무
[Role]
- Own the application engineering strategy and execution across backend, mobile, and desktop.
- Design reliable systems for AI-powered workflows, including state, orchestration, tool use, retries, fallbacks, and failure handling.
- Build the APIs and abstractions that connect AI systems to real-world product experiences.
- Lead a small, senior engineering team and raise the technical bar through design reviews, code reviews, and hands-on mentorship.
- Make high-impact trade-offs across latency, reliability, cost, security, and user experience.
- Establish strong production foundations: observability, monitoring, testing, and operational excellence.
- Partner closely with ML leadership to turn model capabilities into robust, shippable product experiences.
- Move quickly while keeping the architecture simple, maintainable, and ready to scale.
[Outcome]
- Production systems are observable, monitored, and stable under real-world load.
- Decisions consistently balance speed, cost, reliability, and user experience.
- Features across backend, mobile, and desktop work smoothly and reliably.
- Latency and reliability improve measurably over time.