AI产品工程师（全栈）
AI Product Engineer (Full Stack)
AI产品工程师（全栈）– AI/大模型应用
职位类型：全职，远程办公
工作时间：美国工作时间
职位简介
我们正在招聘一名AI产品工程师（全栈），从零开始构建和扩展一个真实世界的AI驱动产品。
这是一个需要高度参与的职位，适合能够：
- 端到端构建全栈应用程序
- 将AI/大模型集成到生产系统中
- 快速交付并快速迭代
- 负责架构、性能和可靠性
这不是一个仅限维护的职位。
你将构建一个实际运行的平台，结合以下内容：
- 现代网页应用开发
- AI驱动的工作流程
- 可扩展的后端系统
- 真实世界的运营功能
如果你喜欢：
- 构建产品
- 快速交付
- 将AI整合到实际用例中
- 独立解决技术问题
这个职位非常适合你。
你将负责的内容
全栈产品开发
- 从零开始构建并发布一个生产就绪的网页应用
- 负责：
- 前端开发
- 后端架构
- 快速交付功能并持续改进平台
- 设计可扩展、可维护的系统架构
AI与大模型集成
- 集成AI模型，例如：
- Claude
- OpenAI
- Gemini
- 构建AI驱动的工作流程和产品体验
- 实现：
- 提示流程
- 安全机制
- 虚假信息处理
- 故障恢复系统
- 优化AI输出以提高可靠性和可用性
后端系统与API
- 构建可扩展的API和后端服务
- 大量使用：
- Supabase
- PostgreSQL
- 认证系统
- 权限管理
- 实时数据流
- 设计高效的数据库结构和后端逻辑
安全、可靠性和性能
- 实现：
- 认证
- 基于角色的权限
- 数据保护最佳实践
- 改进：
- 可扩展性
- 性能
- 系统可用性
- 用户体验
- 调试生产问题并优化系统稳定性
产品协作
- 直接与领导层和产品利益相关者合作
- 将想法转化为生产就绪的技术解决方案
- 根据以下内容快速迭代：
- 产品反馈
- 用户行为
- 运营需求
要求
必备条件
- 强大的全栈开发经验
- 有成功交付真实生产产品的经验
- 有将AI/大模型集成到应用中的实际经验
- 对以下内容有深刻理解：
- APIs
- 后端系统
- 系统架构
- 可扩展的产品设计
查看英文原文
AI Product Engineer (Full Stack) – AI/LLM Applications
Position Type: Full-Time, Remote
Working Hours: U.S. Business Hours
About the Role
We’re hiring an AI Product Engineer (Full Stack) to build and scale a real-world AI-powered product from the ground up.
This is a highly hands-on role for someone who can:
- Build full-stack applications end-to-end
- Integrate AI/LLMs into production systems
- Ship quickly and iterate fast
- Own architecture, performance, and reliability
This is not a maintenance-only role.
You’ll be building a live production platform that combines:
- Modern web application development
- AI-powered workflows
- Scalable backend systems
- Real-world operational functionality
If you enjoy:
- Building products
- Shipping fast
- Integrating AI into real use cases
- Solving technical problems independently
This role is a strong fit.
What You’ll Own
Full Stack Product Development
- Build and launch a production-ready web application from scratch
- Own both:
- Frontend development
- Backend architecture
- Ship features rapidly and improve the platform continuously post-launch
- Design scalable, maintainable system architecture
AI & LLM Integration
- Integrate AI models such as:
- Claude
- OpenAI
- Gemini
- Build AI-powered workflows and product experiences
- Implement:
- Prompt workflows
- Guardrails
- Hallucination handling
- Failure recovery systems
- Optimize AI outputs for reliability and usability
Backend Systems & APIs
- Build scalable APIs and backend services
- Work extensively with:
- Supabase
- PostgreSQL
- Authentication systems
- Permissions
- Real-time data flows
- Design efficient database structures and backend logic
Security, Reliability & Performance
- Implement:
- Authentication
- Role-based permissions
- Data protection best practices
- Improve:
- Scalability
- Performance
- Uptime
- User experience
- Debug production issues and optimize system stability
Product Collaboration
- Work directly with leadership and product stakeholders
- Translate ideas into production-ready technical solutions
- Iterate rapidly based on:
- Product feedback
- User behavior
- Operational needs
Requirements
Non-Negotiables
- Strong full-stack development experience
- Proven experience shipping real production products
- Hands-on experience integrating AI/LLMs into applications
- Strong understanding of:
- APIs
- Backend systems
- System architecture
- Scalable product design
- Experience with:
- Supabase
- Firebase
- PostgreSQL
- Similar backend platforms
- Understanding of AI limitations, including:
- Hallucinations
- Edge cases
- Prompt reliability
- Strong debugging and problem-solving ability
- Ability to work independently with high ownership
Nice to Have
- Experience building:
- AI agents
- Workflow automation systems
- SaaS platforms
- Familiarity with:
- Claude
- OpenAI APIs
- Vector databases
- RAG workflows
- Startup or MVP-to-production experience
- Exposure to:
- Logistics
- Aviation
- Operational platforms
- Membership systems
Tech Stack Exposure
Strong candidates may have experience with:
- React / Next.js
- TypeScript
- Node.js
- Supabase
- PostgreSQL
- REST APIs
- AI APIs (Claude, OpenAI, Gemini)
- Vercel
- Docker
- Cloud deployments
What a Typical Day Looks Like
- Build and ship new product features
- Develop frontend interfaces and backend APIs
- Integrate AI workflows into product experiences
- Improve prompt handling and AI reliability
- Debug production issues and optimize performance
- Collaborate with leadership on product direction
- Refactor systems for scalability and maintainability
In short: you build AI-powered products that are fast, scalable, reliable, and production-ready.
Success Looks Like
- Successful launch of production-ready applications
- Reliable AI workflows with minimal failures
- Fast feature delivery and iteration cycles
- Stable backend systems and APIs
- Reduced bugs and improved performance over time
- Scalable, maintainable architecture
Why This Role Stands Out
- High ownership and autonomy
- Build real AI products, not internal experiments
- Direct impact on product and technical direction
- Work with modern AI tooling and infrastructure
- Opportunity to scale products from MVP to production
- Fully remote flexibility
Interview Process
- Initial Screening Call
- Technical & Systems Design Interview
- Practical Product Build / AI Scenario
- Final Interview
- Internal Review & Offer
Apply Now
If you:
- Love building products from scratch
- Enjoy shipping fast and solving hard problems
- Have real AI and full-stack experience
- Want ownership in a fast-moving environment
This role is built for you.
Originally posted on Himalayas