AI辅助软件工程师，网络应用
AI-Assisted Software Engineer, Web Applications
Overview 我们正在寻找一名软件工程师来构建和扩展我们的内部网络应用。你的任务是使用 Next.js 前端和 Django 后端交付高质量、可维护的解决方案，同时积极使用 AI 工具和 Model Context Protocols (MCPs) 加速开发并确保整洁的架构。
What Success Looks Like
- Next.js 前端与 Django 后端之间的无缝集成，保持高性能和安全性。
- 主动使用 AI 编码助手和 MCPs 加速开发周期并提升代码质量，而不是将其作为依赖。
- 代码整洁、模块化、经过充分测试，并具备最小的技术债务，可以直接投入生产环境。
- 与跨职能团队有效协作并清晰沟通，确保技术方案符合业务需求。
Requirements
Core Responsibilities
- Next.js 前端：使用 React 和 Next.js 开发快速、响应迅速且直观的用户界面。
- Django 后端：使用 Python 和 Django 架构和构建安全、可扩展的 API 和核心业务逻辑。
- 集成与架构：设计干净、模块化的系统，无缝连接内部工具、数据库和第三方平台。
- AI 辅助开发与 MCPs：在日常工作中利用 AI 编码助手，并构建或集成 Model Context Protocols (MCPs) 来扩展我们 AI 代理的能力。
- 质量实践：倡导整洁代码原则，编写全面的自动化测试，并参与代码审查以确保系统可靠性。
Requirements
- 精通 Python 和 Django 框架。
- 精通 JavaScript/TypeScript、React 和 Next.js。
- 具有强大的 API 设计和第三方集成经验。
- 对自动化测试、整洁架构和现代 QA 实践有强烈承诺。
- 熟悉云基础、容器化（Docker）和版本控制（Git）。
- 优秀的沟通能力，能够在团队间有效协作。
Nice-to-Have Skills
- 直接使用或交互过 Model Context Protocols (MCPs) 或 AI 代理的经验。
- 熟悉 CI/CD 流水线（如 GitHub Actions）和自动化部署。
- 在 Asana 或 Jira 等工具中管理敏捷工作流程的经验。
- 熟悉 Google Cloud Platform (GCP)。
Benefits
· 可选择完全远程办公
Logical 是一家平等机会雇主。我们强烈鼓励候选人申请
查看英文原文
Overview We are looking for a software engineer to build and scale our internal web applications. Your mission is to deliver high-quality, maintainable solutions using a Next.js front end and a Django back end, while actively using AI tools and Model Context Protocols (MCPs) to accelerate development and enforce clean architecture.
What Success Looks Like
- Seamless integration between the Next.js front end and Django back end, maintaining high performance and security.
- Proactive use of AI coding assistants and MCPs to accelerate development cycles and improve code quality, rather than relying on them as a crutch.
- Code is clean, modular, thoroughly tested, and ready for production with minimal technical debt.
- Effective collaboration and clear communication with cross-functional teams to align technical solutions with business needs.
Requirements
Core Responsibilities
- Next.js Front End: Develop fast, responsive, and intuitive user interfaces using React and Next.js.
- Django Back End: Architect and build secure, scalable APIs and core business logic using Python and Django.
- Integration & Architecture: Design clean, modular systems that seamlessly connect internal tools, databases, and third-party platforms.
- AI-Assisted Development & MCPs: Leverage AI coding assistants in your daily workflow and build or integrate Model Context Protocols (MCPs) to expand the capabilities of our AI agents.
- Quality Practices: Champion clean code principles, write comprehensive automated tests, and participate in code reviews to ensure system reliability.
Requirements
- Strong proficiency in Python and the Django framework.
- Strong proficiency in JavaScript/TypeScript, React, and Next.js.
- Proven experience in robust API design and third-party integrations.
- A strong commitment to automated testing, clean architecture, and modern QA practices.
- Familiarity with cloud basics, containerization (Docker), and version control (Git).
- Excellent communication skills and the ability to collaborate effectively across teams.
Nice-to-Have Skills
- Direct experience building or interacting with Model Context Protocols (MCPs) or AI agents.
- Familiarity with CI/CD pipelines (like GitHub Actions) and automated deployments.
- Experience managing agile workflows in tools like Asana or Jira.
- Experience with Google Cloud Platform (GCP).
Benefits
· Option to work completely remote
Logical is an Equal Opportunity Employer. We strongly encourage candidates of all different backgrounds and identities to apply. Each new hire is an opportunity for us to bring in a different perspective, and we are always eager to further diversify our company.
Originally posted on Himalayas