Staff AI Engineer – Multi-Agent Frameworks

Job not on LinkedIn

🕒 April 30

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ClickUp

1001 - 5000 employees

Founded 2017

☁️ SaaS

⚡ Productivity

🏢 Enterprise

💰 $400M Series C - ClickUp on 2021-10

SaaS • Productivity • Enterprise

ClickUp is a cloud-based SaaS work management and productivity platform that consolidates projects, docs, chat, time tracking, automations and AI-driven "Super Agents" into a single workspace. It helps teams and enterprises streamline workflows, replace fragmented software stacks, and boost productivity with integrations, customizable agents/workflows, and enterprise-grade security and compliance.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Equity • 401k • Health, Dental, and Vision insurance • Spending accounts • Life & Disability • Paid parental leave • Flexible paid time off • Enhanced employee assistance program • Employee wellness stipend • Professional development stipend

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