• Own the generation, quality, and reliability of backend code produced through AI-assisted development workflows. • Define and maintain clear acceptance criteria and test cases prior to implementation, ensuring a strict test-driven development approach. • Review, refine, and approve AI-generated backend code to ensure it meets functional, performance, and reliability requirements. • Provide structured guidance and constraints to AI systems so generated code aligns with established backend architecture, data models, and service patterns. • Write code as necessary to fill in gaps and bridge the last mile. • Ensure backend implementations handle edge cases, error conditions, and failure scenarios correctly. • Act as the final quality checkpoint for backend code prior to merge or deployment. • Collaborate with product, front-end, and QA partners to translate requirements into precise, testable backend behavior. • Maintain high standards for data integrity, security, and system observability.