Staff AI Engineer - Multi-Agent Frameworks
Clickup•2h ago
United StatesRemote$250K–$300KFull-timeStaff Level7+ yrs exp
Top focus
Ai EngineerStaff Engineer
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. 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 .
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.
- 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
Qualifications
- 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. #LI-REMOTE #LI-AK2 #LI-CC1 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.
- Equal Opportunity Employer ClickUp is an Equal Opportunity Employer
- qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity
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Required skills
AIlarge language modelsorchestration softwareLangGraphevaluation frameworksmachine learningdata anonymizationsecure data handlingsearch technologiesMulti-Agent FrameworksMulti-Agent Systems