前線部署工程師 ｜ Forward Deployed Engineer (FDE)

- 端到端解決方案交付： 深入了解企業客戶的 R&D 流程與業務痛點，利用我們的 Agentic AI 平台設計、開發並部署客製化的 Co-researcher AI 代理與工作流程。

- 企業系統深度整合： 將我們的 AI 平台與客戶現有的企業內部系統（如專有研究資料庫、內部 API、Hadoop/Iceberg 大數據生態系）進行無縫且高度安全的整合。

- AI 效能優化： 針對特定研發場景設計並優化 AI 檢索架構、撰寫複雜的 Prompt 策略，並調整多代理協作 (Multi-Agent Orchestration) 的邏輯，確保 AI 輸出的準確度與穩定性。

- 主導概念驗證 (PoC)： 帶領技術 PoC 專案，在短時間內於客戶的地端或封閉網路環境中展示千倍模擬加速與實驗減少的產品價值，協助業務團隊贏得企業客戶信任。

- 產品迴圈樞紐： 將前線遇到的技術瓶頸、客戶新需求與實驗場景，轉化為具體的工程規格，回饋給核心產品研發團隊，共同制定產品藍圖。

- 客戶技術賦能： 為客戶的研發與技術團隊提供教育訓練與技術指導，確保 AI 解決方案能成功落地並持續運作。

- End-to-End Solution Delivery: Understand enterprise customers' R&D processes and pain points, then use our Agentic AI platform to design, build, and deploy customized Co-researcher AI agents and workflows.

- Deep Enterprise System Integration: Seamlessly and securely integrate our AI platform with customers' internal systems (proprietary research databases, internal APIs, Hadoop/Iceberg big data ecosystems).

- AI Performance Optimization: Design and optimize AI retrieval architectures for specific R&D scenarios, craft sophisticated prompt strategies, and tune Multi-Agent Orchestration to ensure accurate, reliable AI outputs.

- Lead Proofs of Concept (PoC): Drive technical PoCs that quickly demonstrate 1000x simulation acceleration and experiment reduction in customers' on-premise or air-gapped environments—helping sales earn enterprise trust.

- Product Feedback Hub: Translate frontline bottlenecks, emerging customer needs, and real-world experiment scenarios into concrete engineering specs, feeding them back to shape the product roadmap.

- Customer Technical Enablement: Train and guide customers' R&D and technical teams to ensure AI solutions are successfully adopted and run smoothly.

- AI/LLM 實戰經驗： 熟悉大型語言模型 API (OpenAI, Anthropic 等)，並具備 AI Project, Agentic Framework, RAG 等實務導入經驗。

- 卓越的溝通能力： 能夠將複雜的技術概念，以簡單易懂的方式向客戶的高階主管（非技術背景）進行簡報與溝通。

- 擁抱模糊與快節奏： 具備強大的問題解決能力 (Troubleshooting)，能在充滿未知與快速變化的新創環境中獨立作業。

- 具備企業級軟體 (B2B SaaS) 導入、技術顧問 (Technical Consulting) 或 Forward Deployed Engineer / Solutions Architect 的相關經驗。

- Hands-On AI/LLM Experience: Proficiency with large language model APIs (OpenAI, Anthropic, etc.) and hands-on experience deploying AI projects, Agentic Frameworks, and RAG.

- Exceptional Communication: Able to present complex technical concepts clearly to customers' senior, non-technical executives.

- Comfort with Ambiguity and Pace: Strong troubleshooting and problem-solving skills; able to work independently in a fast-moving, uncertain startup environment.

- Relevant experience in enterprise software (B2B SaaS) implementation, Technical Consulting, or as a Forward Deployed Engineer / Solutions Architect.

- 資訊工程、數學或相關領域學士以上學位，或具備同等實務經驗。

- 1 年以上軟體工程經驗 ，精通 Python 或  TypeScript ，具備編寫高質量、可維護程式碼的能力。

- 後端與系統架構： 熟悉 RESTful/GraphQL API 設計，具備雲端平台 (AWS, GCP, 或 Azure) 及容器化技術 (Docker, Kubernetes) 的部署經驗。

- 熟悉 Agentic Frameworks (如 LangGraph, CrewAI, AutoGen, Semantic Kernel 等)。

- 了解企業級資訊安全規範與合規標準 (如 SOC2, ISO 27001, GDPR)。

- 曾有處理高併發 (High-concurrency) 系統或大數據資料管線 (Data Pipelines) 的經驗。

- 具備半導體、材料科學、物理模擬或科學計算等相關領域背景或產業知識者佳（歡迎但非必要）。

- 流利的英文溝通與書寫能力

- Bachelor's degree or above in Computer Science, Mathematics, or a related field—or equivalent practical experience.

- 1+ years of software engineering experience; strong command of Python or TypeScript and the ability to write high-quality, maintainable code.

- Backend and System Architecture: Familiarity with RESTful/GraphQL API design and deployment experience on cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

- Familiarity with Agentic Frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel, etc.).

- Understanding of enterprise security and compliance standards (SOC2, ISO 27001, GDPR).

- Experience with high-concurrency systems or big data pipelines.

- A background or industry knowledge in semiconductors, materials science, physics simulation, or scientific computing is a plus (welcome but not required).

- Fluent English communication and writing skills.

1. 休假制度：年假
2. 獎金福利制度：年終獎金、績效獎金、專利與創新獎勵
3. 專業發展與學習支持：
  a. 提供線上或實體課程補助、證照考試費用補貼。
  b. 定期舉辦相關講座、工作坊以及讀書會。
  c. 支持員工進行創新專案，提供額外的經費與資源。
4. 成長空間：加入充滿活力的團隊，參與核心產品開發，實現個人技術成長與價值。 
5. 其他：免費飲料、咖啡、餅乾；員工聚餐；員工健康檢查。

1. Leave Policy: Annual Leave
2. Bonus and Welfare System: Year-End Bonus, Performance Bonuses, and Patent & Innovation Rewards
3. Professional Development and Learning Support
  a. Subsidies for online or in-person courses and certification exam fees.
  b. Regularly organized lectures, workshops, and book clubs.
  c. Support for innovative projects with additional funding and resources.
4. Growth Opportunities
Join a dynamic team and contribute to core product development, fostering personal technical growth and value realization.
5. Additional Perks
  a. Complimentary beverages, coffee, and snacks.
  b. Team meals and gatherings.
  c. Employee health check-ups.