LLM projects often require knowledge of APIs, prompt engineering, RAG, vector databases, model customization, application development, and cloud deployment. Experienced LLM developers can combine these technologies to build AI applications based on specific business requirements. When choosing developers, companies can also consider their experience with data security, model evaluation, system integration, scalability, and maintaining AI applications after deployment.