Build and own backend systems for an AI assistant: LLM orchestration, workflow execution, identity and knowledge layers, agent networks, and production-grade reliability for cost-sensitive, real-time AI workloads. Influence architecture end-to-end in a greenfield, high-growth environment.

Build end-to-end product features for an AI-native assistant: design polished UI/UX, implement backend plumbing, and ship LLM-powered experiences across web, desktop, and mobile. Work on suggestion engines, workflow builders, team-shared automation surfaces, and trusted agent interactions. Be a foundational full‑stack hire influencing product direction and delivering a fast, delightful experience.

Build and own backend systems powering an AI assistant: LLM orchestration, workflow execution, multi-provider LLM infra, identity and knowledge layers, agent networks, and real-time personalization. Work end-to-end on greenfield infrastructure, scale reliability and cost-sensitive AI workloads, and define architecture and service ownership.