ClickUp - Staff AI Engineer
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. • Unsure if you meet all the qualifications of this job description but are deeply excited about the role? We hire based on ambition, grit, and a passion for improving the way people work. If you think ClickUp is the company for you, we encourage you to apply! • At ClickUp, we assess every candidate based on the potential impact they can have. We hire the best people for the job and support each person’s journey to build their boldest career.
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. • 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.
Benefits
• Estimated Compensation $250K – $300K
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