Agentic AI Engineer

LABUR is partnering with a client to find an Agentic AI Engineer who will enhance agent adoption within the engineering organization. The role focuses on leveraging agentic and AI capabilities to identify tasks suitable for automation, build agents, and scale their usage across the organization to improve productivity.

Responsibilities:

• Assess day-to-day engineering workflows to identify high-value opportunities for agent automation and build agents to handle those tasks end-to-end
• Design and develop agentic solutions for use cases to support workflow optimizations
• Leverage GitHub Copilot cloud agents, AWS Bedrock, and top-tier AI models to parallelize and accelerate engineering work
• Partner with engineering teams to drive adoption, educate colleagues on agent capabilities, and establish repeatable patterns for scaling agent usage
• Define best practices for agent development and deployment, keeping solutions practical and focused on meaningful productivity gains
• Transition agents from prototype environments into production systems built on C#, .NET Core, TypeScript, and React