Follow and apply the latest practices in AI app development (LLM prompting, RAG, Agentic AI, multi-agent architectures, MCP, and A2A protocols...)
Stay updated on industry trends and tools to improve prompt engineering techniques continuously
Experiment with prompt structures to enhance model accuracy and ensure responses align with business objectives
Migrate NLU-based solution (user intent-based chatbot app) to an agentic architecture
Collaborate with business analysts, software developers, data scientists, UX designers, and quality assurance
Understand generative AI, develop conversational AI agents, and design flows that integrate with backend APIs
Document prompt design principles, best practices, and troubleshooting guidelines.