全栈工程师（AI系统）
Full Stack Engineer (AI Systems)
关于公司
我们的客户是一家由东南亚领先科技公司支持的隐秘人工智能初创公司，目前正在组建其全球创始团队。
该公司正在开发一个以人工智能为核心的通信平台，旨在通过将人工智能直接整合到对话中，简化日常任务。用户无需在多个应用程序之间切换，即可在一个智能助手内完成计划、组织、比较、研究和完成任务。
面向仍依赖传统生产力工具的数十亿用户市场，该平台专注于提供可靠的AI工作流程、持久上下文、多步骤推理和无缝任务执行。其使命是打造一款能显著提升生产力，同时让日常办公更简单、更直观的人工智能助手。
关于职位
我们的客户正在寻找一名全栈工程师 – AI系统，以构建将先进AI能力转化为直观、可生产的工作流程的AI原生产品体验。该职位结合前端、后端和AI工程，开发可靠、可扩展且以用户为中心的智能功能。
与产品、后端和机器学习团队紧密合作，该职位将专注于设计端到端的AI工作流程，集成大型语言模型（LLMs），并在网页应用中交付无缝的用户体验。
主要职责
- 在前端、后端和AI集成方面构建端到端的产品功能。
- 设计和开发支持跨多步骤规划、工具使用、故障处理和恢复的AI代理工作流程。
- 将LLMs、记忆系统和外部工具集成到可扩展、生产级的应用程序中。
- 设计具有流式传输能力、部分结果和低延迟性能的响应式AI交互。
- 提升AI功能的系统可靠性、可观测性和回退机制。
- 与产品、后端和机器学习团队紧密合作，将功能从概念推向生产环境。
- 根据用户反馈、生产洞察和实际使用情况，持续迭代和改进产品功能。
要求
- 在前端和后端开发方面有丰富的全栈软件工程经验。
- 对系统设计、可扩展架构和API开发有扎实的理解。
- 有使用大型语言模型（LLMs）构建AI驱动应用的经验。
查看英文原文
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is looking for a Full Stack Engineer – AI Systems to build AI-native product experiences that transform advanced AI capabilities into intuitive, production-ready workflows. This role combines frontend, backend, and AI engineering to develop intelligent features that are reliable, scalable, and user-centric.
Working closely with product, backend, and machine learning teams, this position will focus on designing end-to-end AI workflows, integrating large language models (LLMs), and delivering seamless user experiences across web applications.
Key Responsibilities
- Build end-to-end product features across frontend, backend, and AI integrations.
- Design and develop AI agent workflows that support planning, tool usage, failure handling, and recovery across multiple steps.
- Integrate LLMs, memory systems, and external tools into scalable, production-grade applications.
- Design responsive AI interactions with streaming capabilities, partial results, and low-latency performance.
- Improve system reliability, observability, and fallback mechanisms for AI-powered features.
- Collaborate closely with product, backend, and machine learning teams to deliver features from concept to production.
- Continuously iterate and improve product functionality based on user feedback, production insights, and real-world usage.
Requirements
- Strong experience in full stack software engineering across frontend and backend development.
- Solid understanding of system design, scalable architecture, and API development.
- Experience building AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or similar technologies.
- Ability to work effectively in fast-paced environments with evolving requirements.
- Strong ownership mindset with experience delivering features from ideation through production deployment.
- Excellent problem-solving skills and the ability to make pragmatic engineering decisions in ambiguous situations.
Preferred Technical Skills
Experience with some or all of the following technologies is preferred:
- Next.js
- Python
- Node.js
- PyTorch
- OpenAI, Anthropic, or open-source Large Language Models (LLMs)
- SQL and NoSQL databases
- Kubernetes
- Docker
Originally posted on Himalayas