AI adoption mindset, AI output quality assurance, AI-assisted development, Context engineering, Agentic orchestration, Agentic engineering, Application security, Cloud architecture, Observability, High availability engineering, Troubleshooting, Evaluations and benchmarking engineering, CI/CD. You’ve worked hands-on with LLM-based systems, agentic workflows, and distributed architectures, and you understand that building something is only half the job — the other half is making sure it stays healthy after go-live.