• Design, test, and refine prompts to optimize LLM outputs for accuracy, relevance, and tone across diverse use cases. • Train and fine-tune LLMs using proprietary datasets and prompt engineering techniques. • Embed AI prompts into applications and software to automate complex or repetitive tasks. • Monitor performance data to optimize outputs and fine-tune strategies. • Support the integration of AI-powered chatbots into team workflows and enterprise platforms. • Monitor AI system performance, analyze output quality, and iterate based on feedback and metrics. • Measure SEO and adjust strategies to improve performance on key terms. • Collaborate with domain subject matter experts, product, engineering, and UX teams to align AI behavior with user expectations and business goals. • Maintain documentation of prompt libraries, model behaviors, and integration strategies.