Senior AI Engineer - Multi-Agent Frameworks

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.

- 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.