diff --git a/keras/src/backend/jax/core.py b/keras/src/backend/jax/core.py
index 9913085fde6..2fbca29aedd 100644
--- a/keras/src/backend/jax/core.py
+++ b/keras/src/backend/jax/core.py
@@ -12,12 +12,13 @@
 from keras.src.backend.common.stateless_scope import StatelessScope
 from keras.src.backend.common.symbolic_scope import SymbolicScope
 from keras.src.backend.jax import distribution_lib
+from flax import nnx
 
 SUPPORTS_SPARSE_TENSORS = True
 IS_THREAD_SAFE = True
 
 
-class Variable(KerasVariable):
+class Variable(nnx.Param, KerasVariable):
     def _initialize(self, value):
         value = jnp.array(value, dtype=self._dtype)
         # Note that variable.shape is needed by distribution_lib
@@ -33,6 +34,14 @@ def _initialize(self, value):
             self._layout = None
         self._direct_assign(value)
 
+    @property
+    def _value(self):
+        return self.raw_value
+    
+    @_value.setter
+    def _value(self, value):
+        self.raw_value = value
+
     def _direct_assign(self, value):
         if getattr(self, "_layout", None) is not None:
             value = distribution_lib.distribute_variable(value, self._layout)
diff --git a/keras/src/backend/jax/layer.py b/keras/src/backend/jax/layer.py
index fbcc4fe5b5c..021895b81e2 100644
--- a/keras/src/backend/jax/layer.py
+++ b/keras/src/backend/jax/layer.py
@@ -1,2 +1,5 @@
-class JaxLayer:
-    pass
+from flax import nnx
+
+class JaxLayer(nnx.Object):
+    def __init_subclass__(cls):
+        super().__init_subclass__()
diff --git a/keras/src/layers/layer.py b/keras/src/layers/layer.py
index d065fdd2fdf..8f04edbccc2 100644
--- a/keras/src/layers/layer.py
+++ b/keras/src/layers/layer.py
@@ -212,6 +212,9 @@ def call(self, inputs):
     ```
     """
 
+    def __init_subclass__(cls):
+        super(BackendLayer, cls).__init_subclass__()
+
     def __new__(cls, *args, **kwargs):
         obj = super().__new__(cls, *args, **kwargs)
 
@@ -538,7 +541,9 @@ def add_weight(
                 initializer = "zeros"
         initializer = initializers.get(initializer)
         with backend.name_scope(self.name, caller=self):
+            value = initializer(shape, dtype)
             variable = backend.Variable(
+                value,
                 initializer=initializer,
                 shape=shape,
                 dtype=dtype,
diff --git a/keras/src/ops/operation.py b/keras/src/ops/operation.py
index a289bc5f321..9852c85ceb8 100644
--- a/keras/src/ops/operation.py
+++ b/keras/src/ops/operation.py
@@ -10,10 +10,13 @@
 from keras.src.utils import python_utils
 from keras.src.utils import traceback_utils
 from keras.src.utils.naming import auto_name
+from flax import nnx
 
 
 @keras_export("keras.Operation")
 class Operation:
+    def __init_subclass__(cls):
+        super().__init_subclass__()
     def __init__(self, dtype=None, name=None):
         if name is None:
             name = auto_name(self.__class__.__name__)
@@ -97,6 +100,7 @@ def __new__(cls, *args, **kwargs):
         to manually implement `get_config()`.
         """
         instance = super(Operation, cls).__new__(cls)
+        vars(instance)['_object__state'] = nnx.object.ObjectState()
 
         # Generate a config to be returned by default by `get_config()`.
         arg_names = inspect.getfullargspec(cls.__init__).args