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Open nowPosted 89 days ago

Full-Stack Engineer - AI Customer Service Platform

Raccoon AI (JTCG)8 open roles

Where
Taipei Office
Work mode
Hybrid
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Your applicationOpen nowFull-Stack Engineer - AI Customer Service PlatformRaccoon AI (JTCG) · Taipei Office
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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Raccoon AI (JTCG) postings stay open a median of 10 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.2%30 days
This job: posted 89 days ago

Raccoon AI (JTCG) median: 10 days open

The posting

【關於我們】

Raccoon AI 是一家生成式 AI Chatbot 解決方案提供商,專注協助電子商務、網路平台與品牌企業自動化處理客服訊息。我們自研的 AI 客服平台能即時理解並回覆大量線上對話,協助企業降低客服負擔、提升顧客體驗,並進一步優化轉換率與營運效率。平台可整合品牌既有的客服流程、知識庫、商品資料、訂單系統與多種通訊渠道,讓 AI 不只是回答 FAQ,而是能真正參與客服營運流程。 我們正在持續強化 Raccoon AI 的產品能力,包含更穩定的 AI 回覆品質、更彈性的 agent workflow、更好的客服交接機制,以及與各種外部系統的深度整合。

【關於這個角色】

我們正在尋找一位對 AI 開發與 AI 解決問題有高度熱情的 Full-stack Engineer,加入 Raccoon AI 的核心產品開發團隊。 你將與 PM、工程團隊和商務團隊合作,負責將 AI 客服平台的產品需求實作成穩定、可維護、可擴充的系統功能。這個角色會涵蓋 application 開發、backend API、system integration,以及 AI agent / AI backend 的功能實作。 我們期待你不只是完成規格,而是能理解 AI 客服產品背後的問題脈絡,主動思考如何用工程方式將真實客服場景中的模糊需求、非結構化訊息、知識庫資料與外部系統整合,轉化為穩定可靠的產品能力。 目前我們的 application 主要使用 Ruby on Rails,AI backend 主要使用 Python。

【你將負責】

- 開發與維護 Raccoon AI 客服平台相關的 application 功能、backend API 與資料模型

- 與 PM 合作,將產品需求拆解為可實作、可測試、可維護的工程任務

- 建置與整合 AI backend,包含 LLM 呼叫、prompt flow、AI agent、知識檢索、工具調用與回覆生成流程

- 開發與維護客服對話流程,包含 AI 回覆、人工客服交接、對話狀態管理、訊息紀錄與後台管理功能

- 串接外部服務、內部系統與第三方 API,例如電商平台、CRM、訂單系統、商品資料庫、客服系統或通訊渠道

- 設計並實作可擴充的資料處理流程,支援知識庫同步、商品資料更新、客戶資料查詢與 AI 回覆所需的上下文整理

- 改善系統穩定性、效能、錯誤處理與可觀測性,確保 AI 客服平台能穩定支援實際客戶使用

- 持續研究 AI 開發工具、LLM 應用模式與 agent workflow,並將合適的技術導入實際產品開發

- 與團隊一起提升 AI 回覆品質、系統可維護性與產品開發效率

【我們期待你具備】

- 4 年以上軟體工程開發經驗

- 2 年以上 AI 相關產品、LLM 應用、AI agent、AI workflow 或 AI backend 開發經驗

- 熟悉 Ruby on Rails,能獨立開發與維護 application、backend API 與資料模型;或熟悉 Python,並具備 AI backend、資料處理或 LLM 應用開發經驗

- 具備良好的 backend system design 能力,能設計清楚、穩定、可維護的 API 與服務架構

- 有串接第三方 API、內部系統整合或非同步資料處理流程的實務經驗

- 能理解產品需求,並將需求拆解為合理的工程設計、開發任務與交付節奏

- 重視程式碼品質、可讀性、測試、錯誤處理與系統穩定性

- 對 AI 開發、LLM 應用與用 AI 解決實際問題有高度熱情,願意持續探索新的工具、框架與實作方式

【你可能還有】

- 有開發 AI agent、RAG、LLM workflow、prompt pipeline、tool calling 或 evaluation flow 的實務經驗

- 有開發客服系統、CRM、chatbot、messaging platform、電商後台或 SaaS 後台產品的經驗

- 有串接 LINE、Telegram、Slack、Zendesk、Salesforce、Shopify、WooCommerce 或其他通訊 / 客服 / 電商系統的經驗

- 有處理大量非結構化對話資料、知識庫資料、商品資料或客戶資料的經驗

- 熟悉 background jobs、queue、scheduler、worker 或 event-driven architecture

- 有將 AI prototype 落地成 production-ready system 的經驗

- 熟悉 observability、logging、monitoring、error tracking 與 production debugging

- 樂於使用 AI coding tools 提升開發效率,並能判斷 AI 產出的品質與風險

【我們在找這樣的你】

- 不只是「有用過」AI ,而是對 AI 如何改變產品與工程開發方式感到興奮

- 你喜歡把真實客服場景中模糊、混亂、非結構化的問題,整理成穩定可靠的產品功能

- 你能在 PM 已定義方向後,主動補齊工程細節,提出更好的實作方式

- 你重視交付,不會只求功能跑起來,同時也在意系統是否能被維護和擴充

- 你願意快速學習新工具與新技術,並務實判斷哪些東西值得導入 production

- 你相信 AI 不只是 buzzword,而是一套可以實際提升產品價值與工程效率的能力

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