The ad says“Experience with challenging AI privacy scenarios, including data anonymization, secure data handling, and compliance”
The ad says“Proven experience working with multiple LLMs (e.g., OpenAI, Anthropic, Cohere, etc.) and understanding their strengths and limitations”
The ad says“Deep understanding of AI and machine learning fundamentals, with a focus on backend engineering”
The ad says“Proven experience working with multiple LLMs (e.g., OpenAI, Anthropic, Cohere, etc.) and understanding their strengths and limitations”
The ad says“Experience with challenging AI privacy scenarios, including data anonymization, secure data handling, and compliance”
The ad says“Experience with challenging AI privacy scenarios, including data anonymization, secure data handling, and compliance”
The ad says“Strong background in developing evaluation frameworks for AI systems, particularly in complex testing environments”
The ad says“Expertise in orchestration software like LangGraph or similar frameworks used for building and managing agent workflows”
The ad says“This is a backend-focused role that requires deep expertise in AI, large language models (LLMs), and orchestration software”
The ad says“Deep understanding of AI and machine learning fundamentals, with a focus on backend engineering”
The ad says“Experience building or deploying Multi-Agent Frameworks or Multi-Agent Systems”
The ad says“Proven experience working with multiple LLMs (e.g., OpenAI, Anthropic, Cohere, etc.) and understanding their strengths and limitations”
The ad says“This is a backend-focused role that requires deep expertise in AI, large language models (LLMs), and orchestration software”
The ad says“Experience with search technologies and their integration into AI systems”
The ad says“Experience with challenging AI privacy scenarios, including data anonymization, secure data handling, and compliance”
We are seeking a skilled and experienced Senior 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
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
Benefits
16” MacBook Pro
Moving Expenses
$200/mo commuter benefits
Team lunches each week
401(k) match up to 2%
Unlimited snacks, kombucha, and cold brew
Health insurance
Dental insurance
ClickUp swag
Teammate recognition rewards
Flexible PTO
Preferred experience
Expertise in orchestration software like LangGraph or similar frameworks used for building and managing agent workflows
Experience with challenging AI privacy scenarios, including data anonymization, secure data handling, and compliance
Experience with search technologies and their integration into AI systems
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
Proven experience working with multiple LLMs (e.g., OpenAI, Anthropic, Cohere, etc.) and understanding their strengths and limitations
Strong background in developing evaluation frameworks for AI systems, particularly in complex testing environments
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!