Senior AI Engineer - Multi-agent Frameworks

ClickUp ClickUp · Enterprise · United States · Engineering

Senior AI Engineer focused on building a platform for creating and deploying sophisticated intelligent agents, with a key focus on enabling collaborative and multi-agentic behaviors. This backend-focused role requires deep expertise in AI, LLMs, and orchestration software like LangGraph.

What you'd actually do

  1. Design, develop, and maintain a robust platform to enable users to create and manage AI agents and their interactions.
  2. Integrate and work with multiple LLMs, ensuring seamless orchestration and scalability for both individual and coordinated agent operations.
  3. Leverage orchestration frameworks like LangGraph and others to build complex workflows and pipelines that support diverse agent functionalities, including frameworks for multi-agent coordination.
  4. Develop and implement evaluation frameworks for testing AI agents in challenging and complex scenarios, focusing on individual performance and system-level dynamics.
  5. Stay at the forefront of AI advancements, incorporating the latest research and technologies into our platform to enhance agent capabilities and collaboration.

Skills

Required

  • 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.
  • 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.

Nice to have

  • Passion for staying updated with the latest developments in AI and applying them to real-world problems, particularly in the realm of agent technologies.

What the JD emphasized

  • multi-agentic behaviors
  • frameworks for multi-agent coordination
  • Experience building or deploying Multi-Agent Frameworks or Multi-Agent Systems.

Other signals

  • multi-agent systems
  • LLM orchestration
  • agent frameworks