资深AI工程师 - AI平台
Staff AI Engineer - AI Platform
在 ClickUp，我们正在打造未来的工作方式：首个真正融合 AI 的工作空间，将任务、文档、聊天、日历和企业搜索统一在一起，所有功能均由以情境为中心的 AI 驱动。我们是一家以 AI 为核心的企业。每位团队成员都需每天使用 AI，并且我们在招聘过程中会评估 AI 流畅度。加入我们，一起重新定义可能性。🚀
职位概述：
我们正在寻找一位技术能力出众的资深 AI 工程师 – AI 平台，加入我们的 ClickUp 工程团队。在这个职位中，你将在构建核心 AI 平台以及直接应用大语言模型（LLMs）来为 ClickUp 提供智能功能方面发挥关键作用。你将专注于支持 LLM 和其他 AI 模型部署、编排和生命周期管理的后端系统，同时也会亲自与 LLM 合作解决真实用户问题并推动产品创新。
主要职责：
- 设计、架构和实现可扩展的 AI 平台服务，支持 LLM 和其他 AI 模型的部署、编排和生命周期管理。
- 直接应用 LLM 和其他 AI 技术来构建和增强 ClickUp 的智能功能，与产品和工程团队紧密合作，交付有影响力的解决方案。
- 构建和维护强大的 API 和后端系统，使 AI 功能无缝集成到 ClickUp 的核心平台中。
- 开发模型服务、监控、日志记录和自动化评估的基础设施，确保 AI 服务在生产环境中的高可靠性和性能。
- 与多个 LLM 供应商（如 OpenAI、Anthropic、Google）集成，并管理模型选择、路由和回退策略，以实现最佳性能和成本效益。
- 推动 AI 隐私、安全和合规的最佳实践，包括数据匿名化、安全数据处理和法规遵从。
- 优化平台性能、可扩展性和成本效率，利用云原生技术和分布式系统。
- 跟踪 AI 基础设施、MLOps 和 LLM 应用的最新进展，并主动将相关创新纳入 ClickUp 的 AI 平台。
- 与产品、前端和数据团队跨职能协作，交付无缝、可靠且以用户为中心的 AI 体验。
任职要求：
- 在生产环境中设计和构建可扩展的 AI/ML 平台或基础设施的丰富经验。
- 在应用 LLM 和 AI 模型方面有成功案例。
查看英文原文
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
Role Overview:
We are seeking a highly skilled Staff AI Engineer – AI Platform to join our ClickUp Engineering team. In this role, you will play a critical part in both building the core AI platform and directly applying large language models (LLMs) to deliver intelligent features across ClickUp. You will focus on backend systems that enable scalable, reliable, and secure AI-powered capabilities, while also working hands-on with LLMs to solve real user problems and drive product innovation.
Key Responsibilities:
- Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models.
- Apply LLMs and other AI technologies directly to build and enhance ClickUp’s intelligent features, working closely with product and engineering teams to deliver impactful solutions.
- Build and maintain robust APIs and backend systems that enable seamless integration of AI-powered features into ClickUp’s core platform.
- Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production.
- Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost.
- Drive the adoption of best practices in AI privacy, security, and compliance, including data anonymization, secure data handling, and regulatory adherence.
- Optimize platform performance, scalability, and cost-efficiency, leveraging cloud-native technologies and distributed systems.
- Stay current with advancements in AI infrastructure, MLOps, and LLM applications, and proactively incorporate relevant innovations into ClickUp’s AI platform.
- Collaborate cross-functionally with product, frontend, and data teams to deliver seamless, reliable, and user-centric AI experiences.
Qualifications:
- Extensive experience designing and building scalable AI/ML platforms or infrastructure in a production environment.
- Proven track record of applying LLMs and AI models to real-world product features and user-facing solutions.
- Deep expertise in backend engineering, distributed systems, and cloud-native technologies (e.g., Kubernetes, Docker, AWS/GCP/Azure).
- Proven experience integrating and managing multiple LLMs and AI models, with a strong understanding of their operational requirements and limitations.
- Proficiency in orchestration frameworks and workflow engines (e.g., LangGraph, Airflow, Kubeflow, Ray, or similar).
- Strong programming skills in Python, Go, TypeScript or similar languages used for backend and AI platform development.
- Experience with MLOps best practices, including model deployment, monitoring, logging, and automated evaluation.
- Demonstrated ability to address AI privacy and security challenges, including data anonymization and compliance with data protection regulations.
- Familiarity with search technologies and their integration into AI-driven applications.
- Excellent collaboration and communication skills, with a track record of working effectively in cross-functional teams.
- Passion for staying at the forefront of AI infrastructure and applying new technologies to solve real-world problems at scale.
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