我們是一支專注於智能代理（AI Agents）應用的初創團隊，成員來自海內外知名高等院校。

我們堅信以下三大趨勢正在重新定義未來：

1）AI Agent 將取代並重塑智力勞動 —— 當前智力工作中大量重複性任務與標準化流程，將被 AI Agent 還原成純粹的創造與決策。這不再是"能否"的問題，而是"時間早晚"的問題。

2）從需求到結果的中間成本將趨近於零 —— 隨著 AI Agent 的發展，理解並掌握用戶真實意圖的平台將獲得最大的價值。

3）個性化需求將被充分釋放 —— AI Agent 成為生產力核心，每個人都應擁有完全符合自身的工作生活方式，不再局限於傳統的標準化工具。

在我們的團隊中，10X 創業文化是核心：我們堅信，少數極具創造力、使命感和技術能力的頂尖人才，通過深度協作和技術槓桿，能夠共同創造遠超想象的價值。

崗位職責：

1. 產品開發與落地

- 以產品視角為導向，與創業團隊同事協作，持續迭代產品功能和模型策略，保證產品的可用性、可擴展性與上線穩定性；

- 研究並應用最新的大模型及相關工具，將前沿技術快速落地到真實業務場景中。

2. 模型訓練與微調

- 根據實際需求對大模型進行改進，如微調、訓練、推理優化等；

- 分析實驗數據與用戶使用情況，及時調參並迭代，優化模型效果。

3. 全棧開發與運維支持

- 若有前端開發經驗，能使用常見框架（React 等）搭建產品原型或核心功能展示；

- 若有後端開發經驗，能基於 Python / Node.js / Go 等進行接口設計、數據庫管理，並參與項目的微服務化或容器化（Docker/K8s）；

- 參與運維與部署流程（CI/CD、DevOps），協助構建高可靠、高並發的 AI 系統架構。

4. 高頻使用 AI 工具與協作

- 善於使用各種現有 AI 工具或解決方案（如 ChatGPT、GitHub Copilot、Cursor 等）來提升開發效率；

- 與設計、產品、運營等同時緊密配合，靈活運用最新 AI 工具與技術，加速產品迭代週期。

5. 探索前沿與快速驗證

- 對大模型/AI領域的新趨勢、新論文及新產品保持高度關注；

- 有一定 CodeAgent 研究或實操經驗者優先，了解在 IDE、自動化部署、代碼生成場景中的應用；

- 通過快速 PoC（概念驗證）和 MVP（最小可行產品），驗證產品創新點與技術可行性。

6. 團隊協作與知識共享

- 主動與技術、產品、運營等多方溝通，迅速落實從"需求-設計-開發-上線"全流程，保證交付質量；

- 定期組織或參與內部分享，幫助團隊掌握最新 AI 工具、算法思路，促進共同成長。

任職要求：

- 專業方向涵蓋計算機、軟件工程、人工智能、數據科學等；

- 具備前端（React、NextJS 等）或後端（Python/Node.js/Go 等）開發能力，可完成核心功能或接口的實現；

- 熟悉 Git、Docker、CI/CD 等常用開發&部署工具，能協助構建高效的工程化流程；

- 強烈的 AI 工具使用習慣，日常高頻使用 ChatGPT、GitHub Copilot、Cursor 或其他 AI 輔助工具來提升研發效率；

- 對 CodeAgent 類工具有深入理解或實踐者尤佳。

- 對 AI 前沿研究敏感，樂於鑽研新方法、新思路並嘗試落地；

- 能夠將想法快速轉化成實驗與原型並進行數據驗證，具備靈活多變、持續迭代的研發心態。

薪資組成：

- 面議，參考候選人已獲得的 Offer，提供最高可達2倍的薪資匹配；

應徵方式：

請提交以下資料到 [via CTgoodjobs Apply Now]：

- 個人履歷（包含主要技術棧、課外專案或競賽經驗）

- （可選）GitHub、技術部落格或其他能展示開發成果的案例連結

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Job Responsibilities:

1. Product Development and Implementation

- Collaborate with the startup team from a product perspective to continuously iterate product features and model strategies, ensuring usability, scalability, and stability

- Research and apply the latest large language models and related tools, rapidly implementing cutting-edge technology in real business scenarios

2. Model Training and Fine-tuning

- Improve large models based on actual needs through fine-tuning, training, and inference optimization

Analyze experimental data and user behavior to adjust parameters and iterate promptly, optimizing model performance

3. Full-stack Development and Operations Support

- If experienced in frontend development, build product prototypes or core features using common frameworks (React, etc.)

- If experienced in backend development, design interfaces and manage databases using Python/Node.js/Go, participating in microservice or containerization projects (Docker/K8s)

- Participate in operations and deployment processes (CI/CD, DevOps), helping build highly reliable, high-concurrency AI system architectures

4. High-frequency Use of AI Tools and Collaboration

- Effectively use various existing AI tools or solutions (such as ChatGPT, GitHub Copilot, Cursor, etc.) to improve development efficiency

- Work closely with design, product, and operations teams, flexibly utilizing the latest AI tools and technologies to accelerate product iteration cycles

Frontier Exploration and Rapid Validation

5. Maintain high awareness of new trends, papers, and products in the large model/AI field

- Priority given to those with CodeAgent research or practical experience, understanding applications in IDE, automated deployment, and code generation scenarios

- Validate product innovation points and technical feasibility through rapid PoC (Proof of Concept) and MVP (Minimum Viable Product)

6. Team Collaboration and Knowledge Sharing

- Proactively communicate with technical, product, and operations teams to quickly implement the full "requirements-design-development-launch" process, ensuring delivery quality

- Regularly organize or participate in internal sharing sessions to help the team master the latest AI tools and algorithmic approaches, promoting collective growth

Job Requirements:

- Professional background in computer science, software engineering, artificial intelligence, data science, or related fields

- Frontend (React, NextJS, etc.) or backend (Python/Node.js/Go, etc.) development capabilities to implement core functions or interfaces

- Familiarity with Git, Docker, CI/CD, and other common development and deployment tools to help build efficient engineering processes

- Strong habit of using AI tools, with high-frequency use of ChatGPT, GitHub Copilot, Cursor, or other AI assistance tools to improve R&D efficiency

- In-depth understanding or practical experience with CodeAgent tools is highly desirable

- Sensitivity to cutting-edge AI research, enthusiasm for exploring new methods and approaches and attempting to implement them

- Ability to quickly transform ideas into experiments and prototypes for data validation, with a flexible, iterative R&D mindset

Salary:

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