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The ideal candidate combines solid software engineering fundamentals with practical experience leveraging AI technologies to solve complex business problems.\nResponsibilities:\nPartner with senior technologists and business stakeholders to identify automation opportunities and improve existing workflows.\nDesign, develop, and maintain internal applications, APIs, dashboards, AI agents, and automation solutions.\nBuild and deploy AI-enabled products using modern Generative AI technologies and frameworks.\nTranslate emerging AI trends, risks, and architectural patterns into practical governance and enablement tools.\nUtilize AI coding assistants (e.g., GitHub Copilot, Cursor, Claude, Codex) to accelerate software development while maintaining engineering best practices.\nReview, test, debug, refactor, and optimize AI-generated and manually written code.\nDesign efficient data models, database schemas, and scalable data access patterns.\nRapidly prototype new ideas, gather user feedback, 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