Software Engineer - Agentic AI engineer

About this kind of role

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

Typically does: Develops and implements AI agents, focusing on autonomous decision-making and task completion. This involves designing agent architectures, integrating them with existing systems, and ensuring they operate reliably within defined environments. Agentic AI Engineers often work on improving agent performance through reinforcement learning and other optimization techniques. They may also be involved in evaluating agent behavior and addressing ethical considerations.

Tools and skills: Proficiency in programming languages like Python, experience with machine learning frameworks (TensorFlow, PyTorch), and familiarity with agent-based modeling, reinforcement learning, and natural language processing are generally required.

Good fit for: Individuals with a strong background in software engineering and a passion for artificial intelligence, particularly those interested in building autonomous systems, are often successful in this role.