Staff AI Engineer - Multi-Agent Frameworks

Excerpt from the original posting

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 - 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: 

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Design, develop, and maintain a robust platform to enable users to create and manage AI agents and their interactions.

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Integrate and work with multiple LLMs, ensuring seamless orchestration and scalability for both individual and coordinated agent operations.

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Leverage orchestration frameworks like LangGraph and others to build complex workflows and pipelines that support diverse agent functionalities, including frameworks for multi-agent coordination .

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Develop and implement evaluation frameworks for testing AI agents in challenging and complex scenarios, focusing on individual performance and system-level dynamics.

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Stay at the forefront of AI advancements, incorporating the latest research and technologies into our platform to enhance agent capabilities and collaboration.

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Collaborate with cross-functional teams, including product managers, designers, and frontend engineers, to deliver a seamless user experience for building and deploying intelligent systems.

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Address challenging AI privacy scenarios, ensuring compliance with data protection regulations and best practices within agent-based applications.

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Contribute to improving search capabilities and integrating them into the AI platform to provide agents with essential information access.

Qualifications: 

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Proven experience working with multiple LLMs (e.g., OpenAI, Anthropic, Cohere, etc.) and understanding their strengths and limitations.

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Expertise in orchestration software like LangGraph or similar frameworks used for building and managing agent workflows.

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Strong background in developing evaluation framew…

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