Develop multi-agent AI architectures for enterprise coordination and collaborative reasoning. Requires research experience in MARL/GNNs, strong prototyping skills, and daily AI tool usage.
150k – 250k
HybridAI Research
About the role
Key Responsibilities
Design architectures in which multiple agents coordinate to solve problems requiring structured interaction across reasoning processes.
Build systems that structure communication, route information, and coordinate decision-making across agents.
Investigate interaction patterns governing agent collaboration, including information exchange, critique of reasoning, and coordination over complex workflows.
Establish design principles for cohesive, high-performing agent teams where capabilities emerge from interaction.
Requirements
Experience building or studying multi-agent systems involving structured communication, delegation, critique, or iterative coordination.
Hands-on work with agent orchestration, communication protocols, evaluator agents, or systems enabling information exchange and decision coordination.
Research background in related areas such as multi-agent reinforcement learning (MARL), graph neural networks (GNNs), knowledge graphs, or mixed-initiative planning.
Proven research track record (publications, open-source work, or equivalent).
Daily use of AI tools (e.g., ChatGPT, Cursor, Perplexity) to accelerate workflows.
Strong programming and data analysis skills for rapid prototyping and experimentation.
Bias toward demonstrating practical results over theoretical discussion.
Compensation & Benefits
Base salary: $150K – $250K
Meaningful equity
Comprehensive benefits including 100% covered medical, dental, and vision for employees and dependents
401(k) with additional perks (e.g., commuter benefits, in-office lunch)
Access to state-of-the-art models and generous AI tool usage
Ownership of high-impact projects at top enterprises
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