富據智能科技股份有限公司

公司簡介 Fortune AI Technologies 是一家專注於水域安全 AI 的科技公司，核心產品 SAFE SWIM 平台運用電腦視覺與 AI 技術，提供即時溺水偵測與水域安全監控解決方案。我們的客戶遍及日本、香港、韓國、越南、西班牙等多國，業務範圍涵蓋游泳池安全、港口監控及海域安全應用。 我們正處於多場館快速部署階段，需要一位能讓營運流程標準化、把 CEO 與工程團隊從瑣碎高頻事務中解放的夥伴。 工作內容 採購與供應商管理 硬體設備（攝影機、PoE、NVR、路由器等）詢價、比價、下單 交期追蹤、到貨驗收、單據整理 建立並維護供應商台帳（品項、單價、交期、狀態） 財務行政 發票、收據、資訊整理 每月應收應付追蹤與彙整 文件與版本控管 SOP、整合檢核表、驗收紀錄的建檔與更新 客戶與代理商文件管理 建立命名規則、版本控管與權限規範 人事與庶務 面試排程、報到文件、出勤/請假管理 差旅安排、設備領用登記 會議與跟催 每週例會 agenda 準備、會後紀要撰寫 Action items 追蹤與進度回報 輸出每週「營運節奏表」：收付款、場勘施工排程、風險清單 必備條件 2 年以上行政、採購或營運相關經驗 熟悉 Google Workspace（Sheets、Docs、Drive）或同等工具 細心、低錯誤率，能獨立建立與維護追蹤台帳 具備主動跟催能力，不需提醒就能回報進度 中文書寫流暢，能產出清晰的會議紀要與流程文件 加分條件 有科技業、系統整合或硬體相關公司經驗 熟悉 Notion、Airtable 或專案管理工具 具備基礎財務或會計知識 英文讀寫能力（供應商溝通用）

Role Scope Own everything above the Edge AI runtime: cloud backend, web dashboards, public-facing venue displays, smartwatch apps, and the incident workflow engine Connect AI detection to human response, resolution, and audit — the full incident closure loop Not supporting an existing team — building the platform that turns edge AI output into an operational product from scratch Work directly with CEO and CTO to define what to build, then go build it First 6 Months — Deliverables Q1: User Dashboard — Multi-site event management portal with traffic trend analytics, alert accuracy metrics, and evidence package review (snapshots, video, timeline, zone overlay) Venue Display — Public-facing digital signage for facility lobbies showing real-time AI monitoring status, occupancy data, and promotional content rotation. Signage design language, not an ops console Q2: SmartWatch App — Cross-platform wearable app for alert acknowledgment, dispatch, and case closure. One-handed operation, under 2 seconds per critical action Emergency Workflow Engine — Bidirectional event lifecycle engine implementing an 8-state Case Workflow State Machine (Queued → Needs Confirm → Validated → Rejected → Dispatched → Escalated → Closed → Audit Pending) with SLA timers, timeout escalation, and dispatch routing Backend Build Event Ingest API receiving structured JSON and evidence payloads from edge devices via IPSec/WireGuard VPN Implement GCP Pub/Sub event streaming with dual storage: BigQuery for time-series analytics, Postgres for operational state Develop Workflow State Machine covering the full 8-state case lifecycle with configurable SLA timers, timeout escalation triggers, and dispatch routing logic Build multi-tenant management layer: sites, users, roles, and permissions Implement notification hub spanning LINE, email, webhook, and smartwatch push Expose RESTful and WebSocket APIs serving all three client surfaces (dashboard, display, watch) Frontend Web Dashboard — Real-time event feeds, historical analytics charts, event detail views with evidence packages, and a CMS module for Venue Display content management Venue Display — Large-screen optimized rendering with automatic offline fallback and local caching when cloud connectivity drops SmartWatch App — Cross-platform compatibility targeting Wear OS native or web-based approach; technology choice is yours to make and defend Infrastructure Manage GCP project end-to-end: Cloud Run, Pub/Sub, BigQuery, Cloud SQL, Cloud Storage Build and maintain CI/CD pipelines for all cloud services Implement fleet-wide monitoring, alerting, and health dashboards across all deployed sites Handle OTA content delivery for Venue Display Tech Stack Edge (interface with, not own) — NVIDIA Jetson Orin Nano, DeepStream, YOLO + VLM pipeline. Pushes structured event JSON + evidence packages via IPSec/WireGuard VPN Cloud / Backend — GCP (Pub/Sub, Cloud SQL/Postgres, BigQuery, Cloud Run). Python or Node.js. WebSocket for real-time streaming Frontend — React or Vue (pick one and commit). Data visualization library. Responsive dashboard + signage-optimized display Wearable — Wear OS native or cross-platform. BLE/WiFi connectivity within facility networks Requirements — Must Have 3+ years shipping production web applications end-to-end (backend + frontend + deployment) Track record of building cloud backends from scratch, not just adding features to existing systems Hands-on experience with at least one major cloud platform: GCP, AWS, or Azure (we use GCP) Real-time systems experience: WebSocket, event-driven architecture, Pub/Sub or message queues Relational database design and query optimization (Postgres preferred) Proficiency in both Python and JavaScript/TypeScript At least one shipped mobile or wearable application in production Requirements — Strongly Preferred Workflow or state machine system development (ticket systems, dispatch engines, approval flows — anything with lifecycle states and timeout logic) Video/media handling: HLS streaming, thumbnail generation, evidence packaging Prior experience owning a full product surface at a startup with fewer than 10 people GCP-specific hands-on: Pub/Sub, Cloud Run, BigQuery Mandarin fluency for internal communication + English technical reading proficiency Requirements — Nice to Have IoT or edge integration experience (MQTT, device management, OTA) Digital signage or kiosk application development Background in safety/compliance systems, incident management, or operational workflows