Summary
✨ AI‑Generated
An opportunity for a strong software engineer to own full-stack features from design through deployment while building LLM-powered and agentic AI capabilities. You will work across mobile interfaces, backend services, APIs, and data pipelines, with a strong emphasis on security, reliability, observability, performance, and clean engineering practices. Experienced engineers and exceptional new graduates are welcome.
Highlights
High-ownership startup environment with opportunities to build and scale full-stack products and develop LLM-powered and agentic AI capabilities. The role offers end-to-end ownership, rapid delivery, and exposure to security, reliability, observability, and performance engineering.
Description
We’re looking for exceptional software engineers who are strong across the stack, love analytical problem-solving, and thrive in a fast-moving, high-ownership startup environment.
We welcome both experienced engineers and exceptional new graduates.
What you’ll do
Build and scale full-stack product experiences across React Native, Go services, APIs, and data pipelines.Develop and ship LLM-powered and agentic AI features for complex real-world workflows.Integrate with external systems and partners, with a focus on security, reliability, observability, and performance.Own features end-to-end, from design and implementation to deployment and iteration.Write clean, well-tested code and ship quickly.What we’re looking for
Strong software engineering experience demonstrated through production systems, impactful projects, or exceptional technical work.Excellent coding fundamentals and the ability to design, debug, and optimize effectively.Experience building full-stack products and working across frontend/backend boundaries.Experience with React / React Native and backend services; Golang experience is strongly preferred.Practical interest or experience with LLMs, AI agents, or AI-powered applications.Strong ownership, analytical thinking, and the ability to learn quickly in ambiguous environments.Detail-oriented and collaborative in a geo-distributed team.A BS/MS/PhD in CS, EE, or a related field is welcome but not required.
We care more about your ability to build, learn, and ship.
Nice to have
Production experience with React Native and Golang.Experience with SaaS, AI products, LLM infrastructure, RAG, agents, or evaluation.Open-source contributions, publications, competitions, or side projects that demonstrate real building.
我们正在寻找卓越的软件工程师——要求具备扎实的全栈能力、热爱分析性解决问题，并能在快节奏、高自主权的创业环境中茁壮成长。我们欢迎经验丰富的工程师，也同样欢迎能力出众的应届毕业生。
你将负责的工作
构建并扩展全栈产品体验，涵盖 React Native、Go 服务、API 和数据管道。
开发并交付基于 LLM（大语言模型） 和 AI 智能体 驱动的功能，用于处理复杂的真实业务工作流。
与外部系统和合作伙伴进行集成，重点关注安全性、可靠性、可观测性和性能。
端到端地负责功能特性，从设计和实现到部署及迭代优化。
编写整洁、经过良好测试的代码，并快速交付。
我们希望你具备的条件
通过生产系统、有影响力的项目或卓越的技术工作，证明了扎实的软件工程经验。
优秀的编码基础能力，能够有效地进行设计、调试和性能优化。
有构建全栈产品的经验，能够顺畅地跨越前端/后端边界进行开发。
具备 React / React Native 和后端服务的开发经验；有 Golang 经验者优先考虑。
对 LLM、AI 智能体或 AI 驱动的应用有实际兴趣或实践经验。
具备高度的主人翁意识、分析性思维，并能在模糊、不确定性强的环境中快速学习。
注重细节，并能在跨地域的分布式团队中良好协作。
拥有 CS（计算机科学）、EE（电气工程）或相关领域的学士/硕士/博士学位者欢迎，但不是硬性要求。我们更看重你的构建能力、学习能力和交付能力。
加分项
在生产环境中使用 React Native 和 Golang 的实际经验。
有 SaaS、AI 产品、LLM 基础设施、RAG（检索增强生成）、智能体或模型评估相关经验。
有开源贡献、发表论文、竞赛获奖，或能体现实际动手能力的个人/副业项目。
