Principal Engineer for Agentic AI Systems

About

Lead the architectural advancements of Agentic AI as a Principal Engineer. Oversee innovative projects in reinforcement learning and multi-agent systems to create scalable solutions.

You will act as a vision setter for next-gen AI technologies. The role focuses on crafting high-performance environments for Agentic RL, identifying industry challenges, and fostering academic engagements. Your influence will extend through impactful research and system deployments.

Advance the future of AI by orchestrating the development of robust, distributed systems for next-generation Agentic technologies.

Key Responsibilities:

• Define strategies for deep learning architectures
• Develop agent training substrates for large-scale systems
• Address communication and learning efficiency issues
• Drive collaborations across academia and industry
• Implement evaluation frameworks for large-scale deployments

Requirements:

• MS or PhD in a relevant discipline
• Expertise in reinforcement learning and optimization
• Experience in building distributed ML training systems
• Strong coding skills, especially in Python or C++
• Significant research contributions or patents