• Architect and implement AI-powered agents using LLMs (e.g., GPT, Claude, Llama, Mistral, Gemini). • Develop prompt workflows, retrieval-augmented generation (RAG), and multi-step reasoning. • Configure agent behaviors for decision-making, task execution, and contextual understanding. • Implement function calling, tool use, or API integration to extend agent capabilities. • Connect agents to internal systems, databases, knowledge bases, and APIs. • Use frameworks such as LangChain, LlamaIndex, Haystack, Semantic Kernel, or custom pipelines. • Create structured and unstructured knowledge retrieval mechanisms. • Design agent orchestration pipelines to handle multi-agent collaboration. • Fine-tune or customize LLMs using organization-specific data. • Enforce data privacy and governance standards (GDPR, HIPAA, SOC2, ISO, CCPA).