全端工程師

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

一、薪資與獎金

• 具市場競爭力的月薪水準，依職級與能力調整

• 年度績效獎金，依公司營運與個人貢獻核發

• 具影響力職位可提供員工認股／ESOP（依職務及階段個別議定）

二、工時與制度

• 彈性上班時間，重視責任制與成果導向

• 不打卡文化，以專案進度與交付品質為考核主軸

• 依法提供勞健保、勞退提撥及基本法定休假

三、學習與成長

• 直接參與 Edge AI、Computer Vision、VLM 等實戰專案，有完整產品線與實際場域可驗證成果

• 補助參與專業課程、技術研討會或相關證照（依職務需求與申請機制）

• 與創辦團隊及核心工程師密切協作，快速累積 0→1、1→N 的產品實戰經驗

四、工作環境與文化

• 小而精實的團隊，決策快速、溝通直接，鼓勵提出不同意見與實驗新做法

• 強調「現場優先」與「用數據說話」，避免無效會議與形式主義

• 透明分享專案進度與公司關鍵數字，讓團隊理解自己工作對營運的實際影響

五、國際與場域機會（依職務性質）

• 有機會參與國內外場域導入與測試（泳池、海岸、港區等），實際看到系統在現場運作

• 視專案與表現，可能出差參與海外合作案或加速器／展會（日本、韓國、歐洲等市場）