高级后端工程师
Senior Backend Engineer
关于该职位
这是在一家早期阶段的 AI 原生云架构规划平台后端工程团队中的高影响力个人贡献者职位。你将设计和构建推动可观测性、架构建模和 AI 驱动推荐引擎的智能系统，处于分布式系统、数据流水线和机器学习基础设施的交汇点。
你将负责
- 使用数据流水线、微服务和系统建模技术，设计和构建支持可观测性、架构建模和推荐引擎的可扩展后端系统。
- 与 AI 工程师合作，在平台上嵌入基于大语言模型和多智能体的智能功能，实现丰富的推荐和生成式规划能力。
- 通过识别模式、构建反映架构决策的服务，以及确保用户可操作的可见性，为核心架构能力做出贡献。
- 为关键任务服务实现监控、容错工作流和可观测性层。
- 与产品经理、AI 研究人员和技术领导跨职能协作，将需求转化为强大的平台功能。
- 分享学习成果并指导团队成员，以加强整体工程文化。
我们寻找
- 在高增长初创公司或科技公司有4年以上后端工程经验，构建生产级系统的经历。
- 在生产环境中设计可扩展的分布式系统和微服务架构的实证记录。
- 精通 Go 或 Python，并致力于编写干净、符合习惯、可维护的代码。
- 构建数据流水线、可观测性系统和监控基础设施的经验。
- 具备 DevOps 工具、基础设施即代码和云原生技术的实际经验。
- 具备集成或使用基于大语言模型的系统、AI 工作流或多智能体架构的经验。
- 在初创公司或早期阶段环境中从0到1构建系统或产品的记录。
- 在性能调优、调试复杂系统和技术架构设计方面具备实际技能。
- 在关键任务服务中具备容错工作流设计和弹性模式的实际经验。
- 对 AI 辅助开发工具的使用感到舒适并熟练。
- 扎实的计算机科学基础；研究生学历是加分项。
- 在云架构领域有经验。
查看英文原文
ABOUT THE ROLE
This is a high-impact individual contributor role on the engineering team of an early-stage AI/ML platform company focused on cloud-native architecture intelligence. You will design and build the intelligent backend systems that power observability, architecture modeling, and AI-driven recommendation engines, sitting at the intersection of distributed systems, data pipelines, and ML infrastructure.
WHAT YOU'LL DO
- Design and build scalable backend systems powering observability, architecture modeling, and recommendation engines using data pipelines, microservices, and system modeling techniques.
- Collaborate with AI engineers to embed LLM-based and multi-agent intelligence within the platform, enabling rich recommendations and generative planning features.
- Build services that identify architecture patterns and deliver actionable visibility to users.
- Implement monitoring, fault-tolerant workflows, and observability layers for mission-critical services.
- Work cross-functionally with product managers, AI researchers, and technical leadership to translate requirements into robust platform capabilities.
- Share learnings and contribute to a strong, collaborative engineering culture.
WHAT WE'RE LOOKING FOR
- 4+ years of backend engineering experience at top-tier startups or technology companies, building production-grade systems.
- Proven track record building scalable, distributed systems and microservices architectures, ideally in 0-to-1 product environments.
- Expertise in Go or Python with a commitment to clean, idiomatic, maintainable code.
- Hands-on experience with data pipelines, observability systems, and monitoring infrastructure for production services.
- Deep knowledge of DevOps tooling, infrastructure-as-code, and cloud-native technologies.
- Experience integrating or building with LLM-based systems, AI workflows, or multi-agent architectures.
- Strong aptitude for performance tuning, debugging complex systems, and technical architecture design.
- Prior startup experience and comfort operating with autonomy and ownership in fast-moving environments.
- Practical experience with fault-tolerant workflow design and resilience patterns in mission-critical services.
- Proficiency with AI-assisted development tools (such as Cursor or similar).
- Strong Computer Science fundamentals; graduate-level education is a plus.
- Domain experience with cloud architecture, infrastructure optimization, or technology stack modernization is a bonus.
COMPENSATION & BENEFITS
- Salary: $160,000 to $200,000 per year (USD)
- Visa sponsorship: Not available
LOCATION
Fully remote, open to candidates based in the United States.