management, orchestration, and evaluation. Establish appropriate boundaries between AI‐driven decisions, deterministic execution, human oversight, and actions affecting physical systems. Develop distributed services, communications middleware, APIs, and integrations with equipment and external platforms. Take prototypes into supported operation, addressing reliability, security, performance, maintainability, and usability. Lead verification and validation through … ongoing operation. Practical knowledge of agentic AI systems, including tool use, context management, orchestration, evaluation, and controlled interaction with external systems. Experience with communications middleware and message‐based or publish‐subscribe architectures. Understanding of asynchronous execution, concurrency, persistence, and recovery from partial failures, including message delivery, retries, and idempotency. Experience ...