【我們在做的事】幾年前,我們打造了一個產品,並成功在市場上驗證價值,讓公司穩定站住腳。但這不是終點。現在,我們正在做一件更大的事情——把 AI 能力,直接接到「商業價值」上。我們不只是處理流量,而是開始處理「意圖(intent)」:當使用者在閱讀內容、發問、互動時,我們即時捕捉這些訊號,透過 AI 分析與轉換,讓這些行為變成可以被理解、被匹配,甚至被變現的商業價值。這不只是 AI feature,而是一整條從「使用者行為 → AI理解 → 商業轉換」的產品鏈。我們在找的不是單純的工程師,而是——能把產品做出來,也能讓它產生影響力的人。【這個角色在做什麼】你會參與一條非常直接的 loop:把使用者的行為(intent)轉成產品價值,甚至營收日常會包含:1️⃣ 產品開發(End-to-End Ownership) • 設計與開發 backend services(Go / Python) • 建立 OpenAPI-first 的 API(逐步走向 AI / agent interface) • 開發前端體驗(Vue / Nuxt),包含 AI QA、互動流程、內容嵌入等2️⃣ AI 功能整合(Production,而不是 PoC) • 將 LLM / AI 模型整合進實際產品功能 • 應用在:內容理解、問題生成、推薦、對話等場景 • 不只是 demo,而是面對真實使用者與流量3️⃣ 快速實驗與產品迭代 • 快速做出 prototype(幾天內,而不是幾週) • 決定哪些東西該繼續、哪些該停止 • 持續把好的想法推進到 production 4️⃣ 全流程負責(從開發到上線) • 部署、監控、維運你開發的系統(Kubernetes / EKS) • 使用 Prometheus / Grafana / Sentry 進行觀測 • 問題發生時能快速定位與處理5️⃣ 工程 × 商業思維 • 理解產品如何創造價值(例如:轉換、匹配、流量品質) • 在技術決策時,同時考慮效能、體驗與成本(FinOps)6️⃣ AI-native 開發方式 • 日常使用 AI 工具(Claude、Cursor 等)加速開發 • 自動化測試、文件與流程 • 持續優化開發效率與方式【技術架構】〖Frontend〗Vue.js / Nuxt.js / Vuex〖Backend〗Golang / Python / PostgreSQL / Redis〖Infrastructure〗AWS / GCP / Kubernetes(EKS)/ multi-cloud CDN〖Observability〗Prometheus / Grafana / Sentry / Loki〖AI / Data〗Claude / Cursor / Databricks / Clickstream pipelines / Vector Search【必備條件】 • 有 3 年以上全端或相關開發經驗(接近以下 tech stack) • 曾經完整參與產品開發流程(前後端 / 部署 / 維運) • 熟悉 Go 或 Python(至少一種),以及 Vue.js 或類似前端框架 • 有實際將 AI / LLM 應用到產品中的經驗(不只是實驗) • 能在需求不明確的情況下推進事情,而不是等待指示【加分條件】 • 熟悉 agent 架構或相關工具(MCP、LangGraph、n8n 等) • 有 ad tech / martech / SaaS 經驗 • 理解基本商業指標(如轉換率、流量價值等)【為什麼這個角色重要】我們正處於一個關鍵階段: • 既有產品已經驗證成功並穩定運作 • 新一代 AI 產品已經有真實用戶與使用場景 • 下一步,是證明它能規模化創造商業價值--【What You’ll Do】You’ll be part of a very direct loop:Turning user intent into product value—and potentially revenue.Your day-to-day will include:1️⃣ Product Development (End-to-End Ownership) • Design and build backend services (Go / Python) • Develop OpenAPI-first APIs (evolving toward AI / agent interfaces) • Build frontend experiences (Vue / Nuxt), including AI QA, interactive flows, and embedded content2️⃣ AI Integration (Production, not PoC) • Integrate LLMs / AI models into real product features • Apply them to use cases such as content understanding, question generation, recommendation, and conversational flows • Work with real users and real traffic—not just demos3️⃣ Rapid Experimentation Iteration • Build prototypes quickly (in days, not weeks) • Decide what to push forward and what to stop • Continuously move strong ideas into production4️⃣ Full Ownership (From Development to Production) • Deploy, monitor, and operate the systems you build (Kubernetes / EKS) • Use tools like Prometheus, Grafana, and Sentry for observability • Diagnose and resolve issues quickly when they occur5️⃣ Engineering × Business Thinking • Understand how the product creates value (e.g., conversion, matching, traffic quality) • Consider performance, user experience, and cost (FinOps) in technical decisions6️⃣ AI-Native Development Workflow • Use AI tools (Claude, Cursor, etc.) as part of your daily workflow • Automate testing, documentation, and development processes • Continuously improve development speed and quality【Requirements】 • 3+ years of full-stack or related development experience (aligned with the stack above) • Experience building and shipping products end-to-end (frontend, backend, deployment, operations) • Proficiency in Go or Python (at least one), and Vue.js or similar frontend frameworks • Hands-on experience applying AI / LLMs in real product scenarios (not just experimentation) • Ability to move forward in ambiguous situations instead of waiting for perfect clarity【Nice to Have】 • Familiarity with agent architectures or tools (MCP, LangGraph, n8n, etc.) • Experience in ad tech / martech / SaaS • Understanding of basic business metrics (e.g., conversion rate, traffic value)
5 years of experience required
No management responsibility