The rise of LLMs necessitates a new workforce skilled in LLM development. LLM developers bridge software development, machine learning engineering, and prompt engineering, customizing existing models, using prompt engineering, and integrating advanced techniques. This role demands technical expertise, entrepreneurial skills, and an understanding of economic trade-offs. While software developers and ML engineers can transition, becoming a top LLM developer requires a broader skillset, including iterative problem-solving, failure prediction, and cost/latency optimization, along with strong communication and business acumen. The high demand and scarcity of skilled LLM developers make it a lucrative field.