During June 2025, Francisco Delgadolope developed a dynamic Training Job API for the NVIDIA/NeMo-Run repository, focusing on backend development and distributed systems using Python. He refactored the job creation logic to centralize endpoint and payload selection, enabling seamless support for both single-node and multi-node training workflows. This approach reduced complexity in distributed training configurations and improved maintainability. Francisco also implemented comprehensive unit tests to validate both submission paths, enhancing reliability and test coverage. His work laid the foundation for scalable, flexible job orchestration, making future enhancements easier while ensuring safer distributed training job provisioning through robust API integration and testing.