. * You establish AI‑native engineering as a standard—leveraging Claude Code, agents, skills, workflows, pipelines, harnesses and context engineering—and make AI‑driven productivity gains measurable across teams * Excellent university degree in computer science, software engineering, medical informatics, or a comparable technical field with very strong academic performance. * Strong technical acumen in SaaS architecture, cloud and distributed systems, security, and quality automation, plus a proven track record of driving AI adoption in engineering teams, ideally including hands‑on familiarity with Claude Code or similar agentic tooling (agents, skills, workflows, pipelines, harnesses, and context engineering).
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