Staff AI Engineer - Multi-Agent Frameworks

Bazeta; Northern (KY); Remote; USD 180,000 - 240,000; Full time

Job summary

ClickUp is hiring a Senior Staff AI Engineer focused on Multi-Agent Frameworks. You will help build a scalable backend platform to create and deploy AI agents, manage their interactions, and orchestrate multiple LLMs for coordinated agent activities.

You will design evaluation methodologies, stay ahead with AI research, and collaborate with product and design teams to deliver robust agent-based solutions with strong privacy practices.

Qualifications

• Experience integrating multiple LLMs and orchestrating their interactions.
• Proficiency in backend services for AI platforms.
• Strong design and evaluation skills for agent-based systems.

Responsibilities

• Design, develop, and maintain a platform to create and manage AI agents and their interactions.
• Coordinate multi-agent workflows and agent coordination strategies.
• Develop evaluation frameworks for agent performance in complex scenarios.
• Address privacy and data protection considerations in agent deployments.
• Collaborate with product, design, and frontend teams for a seamless user experience.

Skills

LLMs (OpenAI, Anthropic, Cohere)

Orchestration frameworks

Backend engineering

Evaluation frameworks for AI systems

Multi-Agent Systems

AI privacy and data protection

Tools

LangGraph

OpenAI API

Anthropic API

Cohere API

APIs for LLM integration

Job description

# Staff AI Engineer - Multi-Agent FrameworksUnited States3 hours agoID 1933008Price on request## DetailsEmployment type: Full-timeRemote: YesCompany: ClickUpLevel: Senior## DescriptionAt 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