前向部署工程师
Forward Deployed Engineer
#### 关于该职位
作为前置部署工程师，你将与 Nextdata 的首批客户之一合作，主导一个为期三到四个月的项目（可能会扩展为更长期的合作）。你将与客户紧密协作，将高价值的业务需求转化为基于 Nextdata OS 的生产就绪解决方案。
你将从用例定义开始，负责整个项目的实施和部署。这包括数据集成、数据建模、数据管道、基础设施，以及用户和 AI 代理使用的应用程序。
该项目的核心部分是构建面向用户的代理应用，而不仅仅是底层数据平台。你将开发工作流，让用户能够提问、发现并组合相关数据产品、调用工具，并执行受控操作。这需要在 LangChain、LangGraph 或类似框架上具备实际经验，用于实现多步骤代理工作流、工具调用、状态管理、人工审批步骤和可靠的故障处理。
你还将构建 APIs、语义接口和 MCP 兼容端点，使应用及其代理能够在定义的访问和策略控制下理解和使用企业数据。
你将利用在分析和 AI 生命周期中的经验，从业务需求和数据管道到应用开发和代理工作流。该项目的经验将反馈到 Nextdata OS、其开发者体验和可重用的产品模式中。
### 初期合作预计持续三到四个月。如果成功，工作可能扩展为更广泛的产品计划。
### **我们寻找的人选**
- 在数据工程、分析工程、数据平台或分布式系统方面有丰富经验。
- 有直接与企业客户合作的经验，能够将业务需求转化为可行的技术解决方案。
- 能够从用例定义开始，负责项目的实施和生产部署。
- 强大的 Python 和 SQL 技能，有构建数据管道、API 和后端服务的经验。
- 有使用 LangChain、LangGraph 或类似框架构建面向用户代理应用的实际经验。
- 有处理多步骤工作流、工具调用、状态管理、RAG、语义搜索和人机协作审批的经验。
- 熟悉 MCP、面向代理的 API、语义接口或受控数据访问模式
查看英文原文
#### About The Role
As a Forward Deployed Engineer, you will lead a focused three-to-four-month project (which is likely to turn into a longer-term engagement) with one of Nextdata’s initial customers. You will work closely with the customer to translate a high-value business need into a production-ready solution built on the Nextdata OS.
You will own the project from use-case definition through implementation and deployment. This includes data integration, data modeling, pipelines, infrastructure, and the applications through which users and AI agents consume governed data products.
A core part of the project is building a user-facing agentic application, not only the underlying data platform. You will develop workflows that allow users to ask questions, discover and combine relevant data products, invoke tools, and take governed actions. This requires practical experience with LangChain, LangGraph, or similar frameworks for implementing multi-step agent workflows, tool calling, state management, human approval steps, and reliable failure handling.
You will also build the APIs, semantic interfaces, and MCP-compatible endpoints that allow the application and its agents to understand and use enterprise data within defined access and policy controls.
You will draw on experience across the analytics and AI lifecycle, from business requirements and data pipelines to application development and agentic workflows. Lessons from the project will feed back into the Nextdata OS, its developer experience, and reusable product patterns.
#### The initial engagement is expected to run for three to four months. If successful, the work may expand into a broader product initiative.
### **What We’re Looking For**
- Strong experience in data engineering, analytics engineering, data platforms, or distributed systems.
- Experience working directly with enterprise customers and turning business needs into working technical solutions.
- Ability to own a project from use-case definition through implementation and production deployment.
- Strong Python and SQL skills, with experience building data pipelines, APIs, and backend services.
- Practical experience building user-facing agentic applications with LangChain, LangGraph, or similar frameworks.
- Experience with multi-step workflows, tool calling, state management, RAG, semantic search, and human-in-the-loop approvals.
- Familiarity with MCP, agent-facing APIs, semantic interfaces, or governed data-access patterns.
- Understanding of access control, data governance, policies, lineage, PII protection, and auditability.
- Ability to work across application code, data systems, cloud infrastructure, and customer environments.
- Strong judgment about scope, trade-offs, and turning a PoC into a reliable product capability.
- Comfort working in an early-stage environment where requirements may evolve during the project.