Staff AI Engineer - Multi-Agent Frameworks

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.
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