use. Deliver dashboards, reports, alerts and internal applications that principals and operating teams can trust and actually use. Put AI to work properly. Build LLM pipelines for extraction, classification, retrieval and workflow support, with evaluations, human-in-the-loop oversight and auditability, so it is explainable rather than a black … calls. Experience deploying production systems in AWS, Azure or GCP, accounting for monitoring, secrets management, access control, backups and disaster recovery. Experience with production LLM pipelines: context engineering, evaluation, retrieval, tool use and guardrails. Experience taking a platform from prototype to production or working in an early-stage environment with ...