Develop Production-Ready Code: Produce reliable code in Python and TypeScript for AI applications, including data pipelines, LLM interaction modules, and user interfaces. Optimize AI Performance: Refine prompt strategies and model configurations. Work with data scientists to validate outputs and optimize models for accuracy and efficiency. Integrate Enterprise Data: Connect AI models with enterprise data sources using secure APIs to ensure seamless integration with existing workflows. Ensure Security: Implement unit and integration tests, apply automated security scanning, and enforce secure coding practices to prevent vulnerabilities in production. Collaborate in Agile Teams: Engage with architects, product owners, and collaborators globally. Participate in agile processes, document technical designs, and facilitate knowledge transfer to support continuous delivery. Mentor and Contribute: Mentor engineers and contribute to reusable libraries and standardized AI development practices.