Principal Software Engineer, Agentic AI Architecture

About this kind of role

What a Principal Software Engineer, Agentic AI Architecture usually does. The employer's own details are in the listing.

Typically does: Designs and develops the core architecture for agentic artificial intelligence systems, focusing on how autonomous agents interact and collaborate. This includes defining the frameworks, protocols, and infrastructure that enable agents to perceive, reason, and act within complex environments. Responsibilities often involve leading technical projects, mentoring other engineers, and ensuring the scalability and reliability of the AI platform. They also research and implement advanced techniques in areas like reinforcement learning, natural language processing, and knowledge representation.

Tools and skills: Proficiency in programming languages like Python and Java, experience with machine learning frameworks (TensorFlow, PyTorch), cloud platforms (AWS, Azure, Google Cloud), and strong understanding of software design patterns and distributed systems is generally expected.

Good fit for: Experienced software engineers with a deep understanding of AI principles and a passion for building innovative, autonomous systems thrive in this role.