Research Scientist (Multi-agent Systems)

Job Description

Job Description

AI Research Scientist (Multi-agent Systems) | naptha.ai

About the role

We are seeking an exceptional AI Research Scientist to join Naptha AI at the ground floor, focusing on advancing the state of the art in multi-agent systems and agent interoperability. In this role, you will be responsible for researching and developing novel approaches to agent collaboration, coordination, and scalability. Working directly with our technical team, you will help shape the fundamental architecture of our agent interoperability platform.

This role is critical in solving core technical challenges around agent communication protocols, task delegation, and distributed intelligence. You will work at the intersection of multi-agent systems, machine learning, and distributed systems to develop practical solutions for real-world agent deployment and collaboration.

Core ResponsibilitiesResearch & Development

Design and implement novel architectures for scalable multi-agent systems

Develop frameworks for agent communication and coordination

Research approaches to improve agent interoperability across different frameworks

Create efficient protocols for distributed task execution and resource management

Implement and test new ideas through rapid prototyping

Technical Innovation

Stay at the forefront of developments in multi-agent systems and AI research

Identify and solve key technical challenges in agent interoperability

Develop novel approaches to agent collaboration and task delegation

Bridge theoretical research with practical implementation

Contribute to the academic community through publications and open source

Platform Development

Help design and implement core platform architecture

Develop scalable solutions for agent deployment and management

Create tools and frameworks for agent monitoring and evaluation

Collaborate with engineering team on implementation

Build proofs of concept for new capabilities

Leadership & Collaboration

Work closely with engineering team to implement research findings

Mentor team members on advanced ML concepts and techniques

Contribute to technical strategy and roadmap

Collaborate with external research partners when appropriate

Help evaluate and integrate external research developments

In this role, you're a good fit if you have :

Strong background in machine learning and AI research

Deep understanding of multi-agent systems and reinforcement learning

Hands-on experience with modern agent frameworks (e.g., LangChain, AutoGPT)

Experience with ML infrastructure and deployment

Track record of implementing complex AI systems

Excellent programming skills (Python required, Rust a plus)

Strong analytical and problem-solving abilities

PhD in Machine Learning, Physics, Mathematics, or equivalent experience is a plus

Published research in relevant fields is a plus

Required Technical Experience :

Python programming and ML frameworks (PyTorch, TensorFlow)

Experience with agent frameworks (LangChain, AutoGPT, etc.)

MLOps and model deployment

Distributed systems and scalable architecture

Version control and collaborative development

Experience with large language models

About the hiring process :

Initial technical interview

Research presentation

System design discussion

Technical challenge

Team collaboration interview

Compensation & Benefits :

Competitive salary with significant equity stake

Remote-first work environment

Full medical, dental, and vision coverage

Flexible PTO policy

Learning and development budget

Conference and research publication support

Home office setup allowance

Additional Notes :

Must be comfortable with ambiguity and rapid iteration typical of pre-seed startups

Strong bias for practical implementation of research ideas

Passion for advancing the field of multiagent systems

Interest in open source contribution and community engagement

Naptha AI is committed to building a diverse and inclusive workplace. We are an equal opportunity employer and welcome applications from all qualified candidates regardless of background.