高级全栈工程师-代理AI
Sr Full Stack Engineer - Agentic AI
职位描述
我们正在寻找一位高级全栈工程师加入客户工程团队内部的一个嵌入式、以结果为导向的项目。这是一个需要亲自参与的个人贡献者角色，同时还有另一个明确的维度：作为团队自主工程流程的思想领袖——帮助优化流程、扩展团队的AI工具和技能，并以AI优先的方式树立正确的工作模式。
核心任务：快速熟悉产品，通过Angular前端和.NET后端交付有意义的成果，并推动团队向以规范驱动、AI优先的开发流程转型。
你将负责的工作
- 构建和维护面向客户的Web应用程序 —— Angular前端、.NET后端API、SQL Server数据库，部署在Azure上。
- 在看板SDLC中进行规范驱动开发：从规范中构建AI辅助的实施计划，使用自主编码工具进行实现，并将你的判断力集中在规划、规范评审和代码评审上。
- 作为团队自主工作流的思想领袖：优化开发流程，扩展团队的AI插件/技能，评估工具，并指导同事以AI优先的方式工作。
- 优化应用架构的效率、可靠性、可扩展性和安全性。
- 编写SQL查询，并能熟练处理产品背后的结构化数据。
- 与产品、开发和测试团队协作；清晰地传达状态、风险和技术权衡——包括对非技术人员的沟通。
我们寻找的人选
- C# / .NET（5年以上经验，.NET 5+；当前后端使用.NET Core/.NET 8+）。
- 在现代.NET堆栈上进行生产级后端/API工程开发——不是仅限于维护的遗留工作。
- TypeScript / Angular（3年以上经验，Angular 2+；产品前端目前使用较新的Angular版本）。
- 自主AI开发能力。
- 对自主编码工具和技巧有深入理解——以规划为先的工作流程，用精确上下文引导编码代理，多模型使用，审查并强化代理输出。具备生产环境习惯，而非随意使用自动补全。
- 产品级思维。
- 能够从高于代码层面的规范中工作——质疑需求，进行技术规划，并将业务意图转化为合理的实现。
附加要求：
- 具备编写SQL Server或其他关系型数据库SQL查询的经验
- 熟悉Git以及SDLC管理工具如Azure DevOps；了解CI/CD。
- 优秀的Web应用故障排查和调试能力
- 能力
查看英文原文
About the Role
We are looking for a Senior Full-Stack Engineer to join an embedded, outcome-focused engagement inside the client's engineering organization. This is a hands-on individual contributor role with an explicit second dimension: acting as a thought leader for the team's agentic engineering workflow — helping evolve the process, build out the team's AI tooling and skills, and model the right way to work AI-first.
The core mission: get up to speed on the product fast, ship meaningfully across an Angular front-end and .NET backend, and anchor the team's transition to aspec-driven, AI-first development lifecycle.
What You Will Work On
- Build and maintain customer-facing web applications — Angular front-end,.NET backend APIs, SQL Server database, hosted in Azure.
- Work spec-driven inside a Kanban SDLC: build AI-assisted implementation plans from specs, implement with agentic coding tools, and concentrate your judgment on planning, spec review, and code review.
- Act as the team's agentic-workflow thought leader: evolve the development process, extend the team's AI plugin/skills, evaluate tooling, and coach teammates on working AI-first.
- Optimize the application stack for efficiency, reliability, scalability, and security.
- Write SQL queries and work comfortably with relational data behind the product.
- Collaborate with Product, Development, and QA; communicate status, risks, and technical trade-offs clearly — including to non-technical audiences.
What We Are Looking For
- C# / .NET (5+ years, .NET 5+; current backend on .NET Core/.NET 8+).
- Production backend/API engineering on the modern .NET stack — not maintenance-only legacy work.
- TypeScript / Angular (3+ years, Angular 2+; product front-end currently on a recent Angular version).
- Agentic AI development fluency.
- Strong understanding of agentic codingtools and techniques — planning-first workflows, directing coding agentswith precise context, multi-model use, reviewing and hardening agentoutput. Production habit, not casual autocomplete use.
- Product-level thinking.
- Ability to work from specs at a higher level than the code — question requirements, plan technically, and translate businessintent into sound implementation.
Also required:
- Experience writing SQL queries for SQL Server or other relational databases
- Git, and familiarity with SDLC management tooling such as Azure DevOps;CI/CD understanding.
- Excellent web app troubleshooting and debugging skills
- Ability to break down technical language for non-technical audiences;strong written and verbal communication
- Sense of ownership; able to work independently and as part of a team
What This Is Not
- Not an ML or data-science role — the AI processing pipeline belongs to a different team; this seat builds product with agentic tooling.
- Not a casual-AI role — using AI as an occasional assistant does not meet the bar; the workflow is AI-default.
- Not a code-only executor role — spec-level and product-level thinking arecore to the job.
- Not a DBA role — working SQL ability is required, deep database administration is not.
Why apply:
- Work remotely from anywhere in Latin America.
- Compensation in USD, 7k-8k.
- Paid time off.
- Work directly with business leaders and executive stakeholders across LATAM and the US.
Originally posted on Himalayas