An AI-forward mindset: fluency with AI-assisted development tools (e.g., Claude Code, GitHub Copilot, Cursor) to accelerate delivery, practical prompt engineering skills, and experience managing context (e.g., structuring prompts, memory, and retrieved data) to keep LLM-based workflows accurate and reliable, plus hands-on exposure to AI/ML infrastructure (e.g., model serving, vector databases, LLM operations). It''s ideal for an AI-forward engineer with a strong software engineering background who uses AI-assisted development tools to move faster, has a passion for infrastructure-as-code, and a proven track record of mentoring engineers to build highly reliable, scalable, and performant systems.