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中文VI

The newspaper of the Forward Deployed Engineer

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FDE (Forward Deployed Engineer, Finance & Investment) - Volcano Engine

Beijing, ChinaAsia-PacificHiring · updated

Job description

Translated by FDE Times from the original posting in Chinese.

1. Develop a deep understanding of the customer's business scenarios, quickly build AI application prototypes to validate them, and keep iterating until they become production-grade Agent systems; 2. Design architectures based on AI and the cloud, and use AI-assisted development to implement them quickly in the customer's environment, connecting effectively to the customer's application APIs and data systems and complying with the customer's security standards; 3. Build high-performance evaluation pipelines and observability frameworks to ensure that Agent systems meet requirements for accuracy, security and latency; 4. Identify reusable application patterns and technical problems, and turn them into product feature requests to drive product development; 5. Work closely with the customer's engineering team to ensure AI applications go live successfully and achieve long-term stable operation and a high usage rate.

1. Bachelor's degree or above in computer science, engineering, mathematics or a related field, or equivalent practical experience; 2. Background in the investment or fund industry, with familiarity with investment business logic, and the ability to define products and applications from a business perspective; 3. At least 3 years of software development experience, with proficiency in Vibe coding and solid application of it in real work; 4. Experience with AI applications, such as Prompt engineering, Fine-Tuning, RAG and Agent development; 5. Experience with cloud-based architecture and development, such as development based on cloud service APIs/SDKs, automated deployment and high-availability architecture.

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FDE现场部署工程师(金融投资方向)-火山引擎

1、深入理解客户业务场景,快速开发AI应用原型验证,不断迭代推进至生产级部署的Agent系统; 2、基于AI和云设计架构,并通过AI辅助开发在客户环境中快速实现,有效连接客户的应用API和数据系统,符合客户的安全规范; 3、构建高性能的评估管道和可观测性框架,确保Agent系统满足准确性、安全性和延迟要求; 4、识别可复用的应用模式和技术问题,将其转化为产品功能请求,推动产品发展; 5、与客户的工程团队紧密工作,保障AI应用成功上线,实现长期稳定运行和高使用率。

1、本科及以上学历,计算机、工程、数学等相关专业或同等实践经验; 2、拥有投资或基金行业背景,熟悉投资业务逻辑,能够从业务视角定义产品与应用; 3、3年以上研发工作经验,熟练掌握Vibe coding并在实际工作中有充分应用; 4、有AI应用经验,如Prompt engineering、Fine-Tuning、RAG、Agent开发等; 5、有基于云服务的架构和开发经验,如基于云服务API/SDK开发,自动化部署,高可用架构等。

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