[FEA] Support more dtypes in JIT GroupBy `apply`

**Is your feature request related to a problem? Please describe.**
When https://github.com/rapidsai/cudf/pull/11452 lands, we'll get JIT `Groupby.apply` for a subset of UDFs and importantly, dtypes. However over the summer we only got as far as writing overloads for `float64` and `int64` dtypes in the users source data. It'd be nice if we could support more dtypes, starting at least with the rest of the numeric types.

**Describe the solution you'd like**
Extend the existing `groupby.apply`, `engine='jit'` framework to support the following additional dtypes:
- `float32`
- `int32`
- `int16`
- `int8`
- `uint64`
- `uint32`
- `uint16`
- `uint8`
- `bool`

A lot of the machinery in the original PR is fairly general and should make adding many of these easy- however there will undoubtedly be edge cases. As such it makes for a pretty good first issue for anyone jumping into the numba extension piece of the codebase.