Hi Jerry,
In the context of state space models, "smoothed" refers to an estimate of a value for the time period `t` constructed using the entire sample (including data prior to time `t` and also after time `t`), while "filtered" refers to an estimate that only uses data through period `t` (but not after).
So there's nothing that really guarantees that the results will be particularly smooth. You can sometimes achieve a smoother estimate of the "level" of the series by trying a different model (for example, the "smooth trend" model is often smoother than e.g. "local level"; alternatively, it can sometimes help to include an autoregressive component).
Best,
Chad