Software Engineer

• Act as the primary liaison between AI Engineering, Product, and Business teams.
• Create and maintain the central “AI Knowledge Base” — a single source of truth for technical specifications, API capabilities, release notes, and tool limitations.
• Manage the project lifecycle for AI initiative projects (using tools like Jira/Linear/Asana), ensuring deadlines are met and dependencies are clear.
• Plan and lead training sessions (e.g., “Prompt Engineering 101” or “Advanced Workflows”) to upskill employees across departments.
• Establish and enforce quality standards for AI-generated content.
• Curate and maintain a master library of “Golden Prompts” to prevent employees from reinventing the wheel or using suboptimal inputs.

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