[Remote] Staff AI Engineer - Multi-Agent Frameworks
Note: The job is a remote job and is open to candidates in USA. ClickUp is a company that is architecting the future of work by creating a converged AI workspace. They are seeking a highly skilled Staff AI Engineer to build a cutting-edge platform for creating and deploying intelligent agents, focusing on collaborative and multi-agentic behaviors.
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
- 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
Skills
- 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
Company Overview
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