Position: Research Intern – Full time – London, United Kingdom or Remote

About Eigent AI:

Eigent AI is a research-driven startup focusing on developing a generic infrastructure for a multi-agent ecosystem. Our flagship project, CAMEL-AI (https://github.com/camel-ai/camel), is the earliest large language model-based multi-agent framework for real-world task solving. We are currently focused on advancing the CAMEL open-source project and developing an open-sourced desktop general agent product.

At Eigent AI, we value openness, honesty, and respect. Our collaborative team welcomes diverse perspectives and encourages open discussions. We believe in building multi-agent solutions to tackle customer problems, and fostering a supportive community.

About the Role:

As a Research Intern, you will assist in initiating, developing, and implementing cutting-edge research projects that advance the field of large language model multi-agent systems. Your work will contribute to the enhancement of our CAMEL open-source project and the development of our synthetic data generation product.

Your Responsibilities:

• Assist in conducting end-to-end research, including formulating problems, developing models, and building prototype applications
• Collaborate on advancing Autonomous AI Agent development with machine learning algorithms and large language models
• Support the delivery of research outputs for high-impact business applications, open-source projects, patents, and academic publications
• Present research findings at community events, academic conferences, and potential commercial settings

The Ideal Candidate:

• Current PhD student in Computer Science, Statistics, Engineering, or related fields
• Research experience in prominent AI/ML venues, publications are a strong plus
• Knowledge of large language models, reinforcement learning, multi-agent systems, or synthetic data generation
• Proficiency in Python and a strong mathematical background