• Design and implement robust APIs and middleware that connect AI agents to a mixed-tech stack (Node.js, .NET, Python, etc.), ensuring seamless data flow and interoperability. • Guide teams on best practices for integrating non-deterministic AI components into strictly typed mission-critical enterprise applications. • Develop the orchestration logic that determines when a task is handled by a traditional rule-based system versus an autonomous AI agent. • Build 'Validation Services' that sit between AI outputs and core systems to enforce rigid business rules. • Use Python and PySpark to build robust data pipelines that feed high-context information into AI models while maintaining traditional SQL-based transactional integrity. • Proven experience building and consuming RESTful APIs and managing service-to-service communication in a cloud environment (Azure preferred). • Deep knowledge of Git, Azure DevOps, and containerization (Docker/Kubernetes). • Establish deployment pipelines that include specialized testing for AI and interconnected components, such as prompt versioning, regression testing for model updates, and assisting with chaos-testing of logic flows. • Lead and participate in Agile development ceremonies, manage work through DevOps tools, and maintain source control using Git-based workflows.