- Design and implement backend APIs, services, and data flows that power user-facing AI product features.
- Own features end-to-end: from technical design through implementation, testing, rollout, and production monitoring.
- Build the backend logic for agent-driven product experiences: context retrieval, action execution, conversation management, and intelligent routing.
- Work directly with product and design to scope, estimate, and deliver features that users interact with daily.
- Drive reliability and quality: observability, incident response, performance tuning, and rollout safety for AI-serving product surfaces.
- Identify product-level bottlenecks and propose pragmatic backend solutions that improve the user experience.
- Contribute to architecture decisions that balance product velocity with long-term maintainability.
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