It is not the “posteriors” that are weighted but the likelihood contributions of each observation.
brms takes the weights literally, which means that an observation with weight 2 receives 2 times more weight than an observation with weight 1. It also means that using a weight of 2 is equivalent to adding the corresponding observation twice to the data frame.