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Session Topic: Prompt & Content Engineering with RAG + High-Level DSPy Discussion In this technical session, Lakshmi Narasimhan shares a practical, engineering-first approach to working with LLMs — moving beyond trial-and-error prompting toward structured and reliable AI system design. Lakshmi draws on 20+ years of experience across IBM, eBay, Amazon, Uber and now Capital One to explain how modern AI systems should actually be built: predictable, testable, and scalable. What You’ll Learn Why most prompts fail in real applications The structured prompting model: Role → Context → Task → Output Format How RAG (Retrieval Augmented Generation) improves reliability Designing prompts for consistent LLM behavior Turning prompts into production-grade systems Where DSPy fits in the evolution of AI engineering Speaker: Lakshmi Narasimhan is a pragmatic engineering leader with over two decades of experience building and scaling large systems. He has worked across core Java technologies at IBM, led high-throughput platforms at eBay and Amazon, and driven critical engineering initiatives at Uber across Maps and platform automation. Today, as Director of Engineering at Capital One, he focuses on building scalable, reliable systems while bridging traditional software engineering with modern AI practices. Lakshmi is also deeply interested in practical applications of LLMs and RAG systems, bringing a hands-on, no-hype perspective to AI and engineering. At SaavigenAI we are committed to upskil on AI and AI Security and provide consultant solution for Enterprise to have secure AI solution. #AISecurity #GenAISecurity #LLMSecurity #AIApplicationSecurity #SystemPrompt #PromptEngineering #AIGuardrails #EnterpriseAI #AIArchitecture #AIThreatModel #ResponsibleAI #SecurityEngineering #CyberSecurity #AIForEnterprises #SaaviGenAI #Guardrail #systemprompt #prompting #prompt #llmprompt #Genai #CyberSecurityNews #cybersecurityjobs #cybersecurityroles #cybersecurityrole #cybersecuritynews #cybersecuritytraining #internship #CyberSecurityLedership #LLM #GenAI #jaillbreak #promptinjection #cyberattack #ai #aijob