全栈工程师
Full Stack Engineer
职位描述
作为全栈工程师，你将作为关键成员参与构建内部AI应用。你将与工程负责人紧密合作，将明确的需求转化为高可用、可靠、安全且高性能的API、微服务和内部网页门户。
这是一个纯粹的交付角色。我们的客户需要一位能够主动接单、编写干净代码，并将标准网络技术与现代LLM API集成的开发者，以帮助业务更智能、更快速地运行。
职位职责
- 实战开发：主要专注于编写生产级代码，为内部平台构建特定功能。
- 全栈执行：构建稳健的后端服务，并将其与简洁、功能完善的前端界面集成，供内部团队使用。
- API集成：与工程负责人合作，通过已有的API和新兴的代理开发框架，将专有数据与前沿LLM连接。
- 测试与部署：确保交付的代码经过充分测试，并能良好地融入现有的云基础设施。
任职要求
技术栈：
- 后端：Python 和/或 Node.js。
- 前端：现代 JavaScript/TypeScript 框架。
- 基础设施：在 GCP（Cloud Run、Vertex AI）上有通用经验，以及基本的基础设施即代码（Terraform）知识。
经验与技能：
- 熟练的全栈经验：有使用 Python 或 Node.js 编写和部署稳健服务的经验，同时熟悉现代前端框架（如 React、Vue 或 TypeScript）。
- 云平台熟悉度：能够在现代云平台（最好是 Google Cloud Platform）上工作，并了解容器化部署（如 Docker、Cloud Run）。
- API 与集成技能：有构建和使用 REST 或 GraphQL API 的丰富经验。
- 自驱力：能够主动接受任务并独立完成，在必要时寻求解除障碍。
- 对 AI 的兴趣：不需要是 AI 研究员，但应热衷于与 LLM 和基础代理系统合作。
- 英国时区重叠：能够保证每天至少4小时与英国工作时间（09:00–17:00 GMT/BST）重叠。
- 英语能力：具备专业水平的英语书面和口语能力（CEFR C1/C2）。
最初发布于 Himalayas
查看英文原文
JOB SUMMARY
As a Full Stack Engineer, you'll be a key set of hands helping build out internal AI applications. You'll work closely with the Head of Engineering, taking well-defined requirements and turning them into highly available, reliable, secure, and performant APIs, microservices, and internal web portals.
This is a pure delivery role. Our client needs a self-starter who can pick up tickets, write clean code, and integrate standard web technologies with modern LLM APIs to help the business run smarter and faster.
JOB RESPONSIBILITIES
- Hands-on development: focus primarily on writing production-grade code, building out specific features for internal platforms.
- Full-stack execution: build robust backend services and integrate them with clean, functional front-end interfaces for internal teams.
- API integration: work with the Head of Engineering to connect proprietary data with cutting-edge LLMs using established APIs and emerging agent development frameworks.
- Testing and deployment: ensure delivered code is well-tested and plays nicely within existing cloud infrastructure.
QUALIFICATIONS
Technical Stack:
- Backend: Python and/or Node.js.
- Frontend: modern JavaScript/TypeScript frameworks.
- Infrastructure: general experience with GCP (Cloud Run, Vertex AI) and basic Infrastructure as Code (Terraform).
Experience and Skills:
- Solid full stack experience: proven experience writing and deploying robust services using Python or Node.js, alongside modern frontend frameworks (e.g. React, Vue, or TypeScript).
- Cloud familiarity: comfortable working within modern cloud platforms (preferably Google Cloud Platform) and understand containerized deployments (e.g. Docker, Cloud Run).
- API & integration skills: strong experience building and consuming REST or GraphQL APIs.
- Self-starter: comfortable picking up tasks and working independently to deliver them on time, asking for unblockers when necessary.
- AI interest: you don't need to be an AI researcher, but you should be excited to work with LLMs and basic agentic systems.
- UK time-zone overlap: able to commit to at least 4 hours of daily overlap with UK business hours (09:00–17:00 GMT/BST).
- English proficiency: professional working proficiency in written and spoken English (CEFR C1/C2).
Originally posted on Himalayas