Software Engineer, Agentic AI Infrastructure

About this kind of role

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

Typically does: Software Engineers in this area design, develop, and maintain the infrastructure that supports agentic artificial intelligence systems. This includes building scalable and reliable platforms for AI agents to operate, interact, and learn. They often focus on areas like data pipelines, model deployment, and agent orchestration. Responsibilities can also involve integrating AI agents with existing systems and ensuring their performance and security.

Tools and skills: Proficiency in programming languages like Python and Java, experience with cloud platforms (such as AWS, Azure, or Google Cloud), and familiarity with machine learning frameworks and databases are commonly required.

Good fit for: Individuals with a strong foundation in software engineering and a keen interest in the rapidly evolving field of artificial intelligence often thrive in this role.