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About ClickUpAt ClickUp, they’re building the future of work by creating a converged AI workspace that unifies tasks, docs, chat, calendar, and enterprise search—supercharged by context-driven AI.Role OverviewWe are seeking a highly skilled Staff AI Engineer - Multi-Agent Frameworks to join the AI Platform team. In this role, you will build a platform that empowers 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 ResponsibilitiesDesign, 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 the platform to enhance agent capabilities and collaboration.Collaborate with cross-functional teams (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.Improve search capabilities and integrate them into the AI platform to provide agents with essential information access.QualificationsProven experience working with multiple LLMs (e.g., OpenAI, Anthropic, Cohere) 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.Salary and BenefitsEquity401kHealth, Dental, and Vision insuranceSpending accountsLife & DisabilityPaid parental leaveFlexible paid time offEnhanced employee assistance programEmployee wellness stipendProfessional development stipend
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