Staff AI Engineer - Multi-Agent Frameworks

United StatesRemote

Responsibilities

- Develop and implement evaluation frameworks for testing AI agents in challenging and complex scenarios, focusing on individual performance and system-level dynamics.
- Collaborate with cross-functional teams, including product managers, designers, and frontend engineers, to deliver a seamless user

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.
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.
- Stay at the forefront of AI advancements, incorporating the latest research and technologies into our platform to enhance agent capabilities and collaboration.
experience working with multiple LLMs (e.g., OpenAI, Anthropic, Cohere, etc.) and understanding their strengths and limitations.
- 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 search technologies and their integration into AI systems. -

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