A Genetic Algorithms (GA) developer designs and implements algorithms based on the principles of biological evolution to solve complex problems. They create a population of potential solutions and use GA operations, such as selection, crossover, and mutation, to evolve better solutions over generations. They may work in various fields like optimization, machine learning, and search. They analyze the performance of the GA, fine-tune parameters, and adapt it to specific problems. Their work involves understanding both the problem domain and evolutionary computation, requiring skills in mathematics, statistics, and programming. They also document and communicate their findings and solutions.