高级AI工程师 - 多智能体框架
Senior AI Engineer - Multi-Agent Frameworks
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起来，所有功能都由以情境驱动的 AI 提升。我们是一家以 AI 为核心的企业。每位团队成员都被期望每天使用 AI，并且我们在招聘过程中会评估 AI 的熟练程度。加入我们，一起重新定义可能的边界。🚀
职位概述：
我们正在寻找一位技能娴熟且经验丰富的高级 AI 工程师 - 多智能体框架，加入我们的 AI 平台团队。在这个职位中，你将在构建一个尖端平台的过程中发挥关键作用，该平台使我们的用户能够创建和部署复杂的智能代理，重点在于实现协作和多智能体行为。这是一个以后端为主的职位，需要在 AI、大型语言模型（LLMs）和编排软件方面有深厚的专业知识。
主要职责：
- 设计、开发和维护一个强大的平台，使用户能够创建和管理 AI 代理及其交互。
- 集成并使用多个 LLM，确保个体和协调代理操作的无缝编排和可扩展性。
- 利用 LangGraph 等编排框架和其他类似工具构建复杂的流程和管道，支持多种代理功能，包括多代理协调框架。
- 开发和实现用于测试 AI 代理在挑战性和复杂场景中的评估框架，重点关注个体表现和系统级动态。
- 跟踪 AI 的最新进展，将最新的研究成果和技术融入我们的平台，以提升代理能力和协作。
- 与跨职能团队合作，包括产品经理、设计师和前端工程师，为构建和部署智能系统提供无缝的用户体验。
- 解决具有挑战性的 AI 隐私场景，确保在基于代理的应用程序中符合数据保护法规和最佳实践。
- 为提升搜索能力做出贡献，并将其集成到 AI 平台中，使代理能够获得必要的信息访问。
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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 skilled and experienced Senior AI Engineer - Multi-Agent Frameworks to join our AI Platform team. In this role, you will play a pivotal part in building a cutting-edge platform that empowers our users to create and deploy sophisticated intelligent agents, with a key focus on enabling collaborative and multi-agentic behaviors. This is a backend-focused role that requires deep expertise in AI, large language models (LLMs), and orchestration software.
Key Responsibilities:
- Design, develop, and maintain a robust platform to enable users to create and manage AI agents and their interactions.
- Integrate and work with multiple LLMs, ensuring seamless orchestration and scalability for both individual and coordinated agent operations.
- Leverage orchestration frameworks like LangGraph and others to build complex workflows and pipelines that support diverse agent functionalities, including frameworks for multi-agent coordination.
- Develop and implement evaluation frameworks for testing AI agents in challenging and complex scenarios, focusing on individual performance and system-level dynamics.
- Stay at the forefront of AI advancements, incorporating the latest research and technologies into our platform to enhance agent capabilities and collaboration.
- Collaborate with cross-functional teams, including product managers, designers, and frontend engineers, to deliver a seamless user experience for building and deploying intelligent systems.
- Address challenging AI privacy scenarios, ensuring compliance with data protection regulations and best practices within agent-based applications.
- Contribute to improving search capabilities and integrating them into the AI platform to provide agents with essential information access.
Qualifications:
- Proven experience working with multiple LLMs (e.g., OpenAI, Anthropic, Cohere, etc.) and understanding their strengths and limitations.
- Expertise in orchestration software like LangGraph or similar frameworks used for building and managing agent workflows.
- Strong background in developing evaluation frameworks for AI systems, particularly in complex testing environments.
- Deep understanding of AI and machine learning fundamentals, with a focus on backend engineering.
- Passion for staying updated with the latest developments in AI and applying them to real-world problems, particularly in the realm of agent technologies.
- Experience with challenging AI privacy scenarios, including data anonymization, secure data handling, and compliance.
- Experience with search technologies and their integration into AI systems.
- Experience building or deploying Multi-Agent Frameworks or Multi-Agent Systems.
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