Backend services at scale Distributed systems Data/feature pipelines Queues/caching Fault tolerance Multi-agent systems Agent communication/delegation Evals Long-running, fault-tolerant agents Tools/prompt/program design Guardrails Designing evals Monitoring performance/drift Fundamentals of Data Science/ML Kubernetes Docker IaC (Terraform/CDK) Networking Secrets management Observability (Grafana/Prometheus/Datadog) CI/CD Fine-tuning/RL Designing agent environments Managing inference Security/compliance Data governance Integration with legacy systems High-agency, low-ego mindset Learning-driven approach Product-mindedness Adventurous spirit