Principal Engineer Agentic AI Systems

Position: Principal Engineer for Agentic AI Systems
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.

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

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