diff --git a/python/cudf/cudf/_lib/pylibcudf/libcudf/lists/filling.pxd b/python/cudf/cudf/_lib/pylibcudf/libcudf/lists/filling.pxd
new file mode 100644
index 00000000000..8403fd179f7
--- /dev/null
+++ b/python/cudf/cudf/_lib/pylibcudf/libcudf/lists/filling.pxd
@@ -0,0 +1,19 @@
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
+
+from libcpp.memory cimport unique_ptr
+
+from cudf._lib.pylibcudf.libcudf.column.column cimport column
+from cudf._lib.pylibcudf.libcudf.column.column_view cimport column_view
+
+
+cdef extern from "cudf/lists/filling.hpp" namespace "cudf::lists" nogil:
+    cdef unique_ptr[column] sequences(
+        const column_view& starts,
+        const column_view& sizes,
+    ) except +
+
+    cdef unique_ptr[column] sequences(
+        const column_view& starts,
+        const column_view& steps,
+        const column_view& sizes,
+    ) except +
diff --git a/python/cudf/cudf/_lib/pylibcudf/lists.pxd b/python/cudf/cudf/_lib/pylibcudf/lists.pxd
index cacecae6010..6e9bd5ff76b 100644
--- a/python/cudf/cudf/_lib/pylibcudf/lists.pxd
+++ b/python/cudf/cudf/_lib/pylibcudf/lists.pxd
@@ -36,4 +36,6 @@ cpdef Column extract_list_element(Column, ColumnOrSizeType)
 
 cpdef Column count_elements(Column)
 
+cpdef Column sequences(Column, Column, Column steps = *)
+
 cpdef Column sort_lists(Column, bool, null_order, bool stable = *)
diff --git a/python/cudf/cudf/_lib/pylibcudf/lists.pyx b/python/cudf/cudf/_lib/pylibcudf/lists.pyx
index b5661a3e634..3837eaaca78 100644
--- a/python/cudf/cudf/_lib/pylibcudf/lists.pyx
+++ b/python/cudf/cudf/_lib/pylibcudf/lists.pyx
@@ -9,6 +9,7 @@ from cudf._lib.pylibcudf.libcudf.column.column cimport column
 from cudf._lib.pylibcudf.libcudf.lists cimport (
     contains as cpp_contains,
     explode as cpp_explode,
+    filling as cpp_filling,
     gather as cpp_gather,
     reverse as cpp_reverse,
 )
@@ -326,6 +327,43 @@ cpdef Column count_elements(Column input):
     return Column.from_libcudf(move(c_result))
 
 
+cpdef Column sequences(Column starts, Column sizes, Column steps = None):
+    """Create a lists column in which each row contains a sequence of
+    values specified by a tuple of (start, step, size) parameters.
+
+    For details, see :cpp:func:`sequences`.
+
+    Parameters
+    ----------
+    starts : Column
+        First values in the result sequences.
+    sizes : Column
+        Numbers of values in the result sequences.
+    steps : Optional[Column]
+        Increment values for the result sequences.
+
+    Returns
+    -------
+    Column
+        The result column containing generated sequences.
+    """
+    cdef unique_ptr[column] c_result
+
+    if steps is not None:
+        with nogil:
+            c_result = move(cpp_filling.sequences(
+                starts.view(),
+                steps.view(),
+                sizes.view(),
+            ))
+    else:
+        with nogil:
+            c_result = move(cpp_filling.sequences(
+                starts.view(),
+                sizes.view(),
+            ))
+    return Column.from_libcudf(move(c_result))
+
 cpdef Column sort_lists(
     Column input,
     bool ascending,
diff --git a/python/cudf/cudf/pylibcudf_tests/test_lists.py b/python/cudf/cudf/pylibcudf_tests/test_lists.py
index 87472f6d59b..0b2e0e00ce8 100644
--- a/python/cudf/cudf/pylibcudf_tests/test_lists.py
+++ b/python/cudf/cudf/pylibcudf_tests/test_lists.py
@@ -198,6 +198,22 @@ def test_count_elements(test_data):
     assert_column_eq(expect, res)
 
 
+def test_sequences():
+    starts = plc.interop.from_arrow(pa.array([0, 1, 2, 3, 4]))
+    steps = plc.interop.from_arrow(pa.array([2, 1, 1, 1, -3]))
+    sizes = plc.interop.from_arrow(pa.array([0, 2, 2, 1, 3]))
+
+    res1 = plc.lists.sequences(starts, sizes, steps)
+    res2 = plc.lists.sequences(starts, sizes)
+
+    expect1 = pa.array([[], [1, 2], [2, 3], [3], [4, 1, -2]])
+    expect2 = pa.array([[], [1, 2], [2, 3], [3], [4, 5, 6]])
+
+    assert_column_eq(expect1, res1)
+
+    assert_column_eq(expect2, res2)
+
+
 @pytest.mark.parametrize(
     "ascending,na_position,expected",
     [