diff --git a/dagster_ray/executor.py b/dagster_ray/executor.py
index d4bb1f80..2ad85dc8 100644
--- a/dagster_ray/executor.py
+++ b/dagster_ray/executor.py
@@ -1,3 +1,4 @@
+import os
 from typing import TYPE_CHECKING, Any, Dict, Iterator, List, Optional, cast
 
 from dagster import (
@@ -66,10 +67,24 @@ def ray_executor(init_context: InitExecutorContext) -> Executor:
     exc_cfg = init_context.executor_config
     ray_cfg = RayExecutorConfig(**exc_cfg["ray"])  # type: ignore
 
-    if ray_cfg.inherit_job_submission_client_from_ray_run_launcher and isinstance(
-        init_context.instance.run_launcher, RayRunLauncher
-    ):
-        # TODO: some RunLauncher config values can be automatically passed to the executor
+    runtime_env = ray_cfg.runtime_env or {}
+
+    if isinstance(init_context.instance.run_launcher, RayRunLauncher):
+        runtime_env["env_vars"] = {
+            **runtime_env.get("env_vars", {}),
+            **init_context.instance.run_launcher.runtime_env.get("env_vars", {}),
+        }
+
+        if init_context.instance.run_launcher.runtime_env.get("working_dir") is not None:
+            # TODO: some RunLauncher config values can be automatically passed to the executor
+
+            if not runtime_env.get("working_dir"):
+                # pass the working dir from the RunLauncher to the executor
+                # since it was set, we are already running in this directory
+                # so we can simply use os.getcwd() to get it
+                runtime_env["working_dir"] = os.getcwd()
+
+    if ray_cfg.inherit_job_submission_client_from_ray_run_launcher:
         client = init_context.instance.run_launcher.client
     else:
         client = JobSubmissionClient(
@@ -80,7 +95,7 @@ def ray_executor(init_context: InitExecutorContext) -> Executor:
         RayStepHandler(
             client=client,
             env_vars=ray_cfg.env_vars,
-            runtime_env=ray_cfg.runtime_env,
+            runtime_env=runtime_env,
             num_cpus=ray_cfg.num_cpus,
             num_gpus=ray_cfg.num_gpus,
             memory=ray_cfg.memory,
@@ -183,10 +198,18 @@ def launch_step(self, step_handler_context: StepHandlerContext) -> Iterator[Dags
             },
         )
 
+        args = step_handler_context.execute_step_args.get_command_args()
+
+        print(args[-1])
+
+        args[-1] = "'" + args[-1] + "'"
+
+        dagster_cmd = " ".join(args)
+
+        entrypoint = f"export PYTHONPATH=$PWD:$PYTHONPATH && echo $PYTHONPATH && python -c 'import example; print(example.__file__)' && {dagster_cmd}"
+
         self.client.submit_job(
-            entrypoint=" ".join(
-                step_handler_context.execute_step_args.get_command_args(skip_serialized_namedtuple=True)
-            ),
+            entrypoint=entrypoint,
             submission_id=submission_id,
             metadata=labels,
             runtime_env=runtime_env,
diff --git a/dagster_ray/run_launcher.py b/dagster_ray/run_launcher.py
index e5c0462d..9d4b046f 100644
--- a/dagster_ray/run_launcher.py
+++ b/dagster_ray/run_launcher.py
@@ -1,3 +1,4 @@
+import json
 import logging
 import sys
 from typing import TYPE_CHECKING, Any, Dict, List, Optional
@@ -124,12 +125,9 @@ def launch_run(self, context: LaunchRunContext) -> None:
             ).get_command_args()
         )
 
-        # wrap the json in quotes to prevent erros with shell commands
-        args[-1] = "'" + args[-1] + "'"
-
-        self._launch_ray_job(submission_id, " ".join(args), run)
+        self._launch_ray_job(submission_id, args, run)
 
-    def _launch_ray_job(self, submission_id: str, entrypoint: str, run: DagsterRun):
+    def _launch_ray_job(self, submission_id: str, args: List[str], run: DagsterRun):
         # note: entrypoint is a shell command
         job_origin = check.not_none(run.job_code_origin)
 
@@ -160,8 +158,32 @@ def _launch_ray_job(self, submission_id: str, entrypoint: str, run: DagsterRun):
             }
         )
 
+        json_data = json.loads(args[-1])
+
+        if (
+            json_data.get("pipeline_origin", {})
+            .get("repository_origin", {})
+            .get("code_pointer", {})
+            .get("working_directory")
+            is not None
+            and self.runtime_env.get("working_dir") is not None
+        ):
+            # remove dagster working_dir
+            # it will pick up $PWD in this case
+            del json_data["pipeline_origin"]["repository_origin"]["code_pointer"]["working_directory"]
+
+        args[-1] = json.dumps(json_data)
+
+        # wrap with quotes to avoid issues with shells
+        args[-1] = "'" + args[-1] + "'"
+
+        dagster_cmd = " ".join(args)
+
+        # FIXME: Dagster is not picking up Definition from $PWD
+        entrypoint = f"export PYTHONPATH=$PWD:$PYTHONPATH && {dagster_cmd}"
+
         self._instance.report_engine_event(
-            "Creating Ray run job",
+            "Creating Ray job for the run",
             run,
             EngineEventData(
                 {
@@ -205,10 +227,7 @@ def resume_run(self, context: ResumeRunContext) -> None:
             ).get_command_args()
         )
 
-        # wrap the json in quotes to prevent erros with shell commands
-        args[-1] = "'" + args[-1] + "'"
-
-        self._launch_ray_job(submission_id, " ".join(args), run)
+        self._launch_ray_job(submission_id, args, run)
 
     def terminate(self, run_id: str) -> bool:
         check.str_param(run_id, "run_id")
@@ -279,7 +298,7 @@ def check_run_worker_health(self, run: DagsterRun):
         # something went wrong
         if run.status in (DagsterRunStatus.STARTED, DagsterRunStatus.CANCELING) and status.is_terminal():
             return CheckRunHealthResult(
-                WorkerStatus.FAILED, f"Run has not completed but Ray job has is in status: {status}"
+                WorkerStatus.FAILED, f"Dagster run has not completed but Ray job has is in status: {status}"
             )
 
         elif status == JobStatus.FAILED:
diff --git a/examples/docker/run_launcher/.python-version b/examples/docker/run_launcher/.python-version
new file mode 100644
index 00000000..c8cfe395
--- /dev/null
+++ b/examples/docker/run_launcher/.python-version
@@ -0,0 +1 @@
+3.10
diff --git a/examples/docker/run_launcher/Dockerfile b/examples/docker/run_launcher/Dockerfile
index 2e874fe1..40e5c93a 100644
--- a/examples/docker/run_launcher/Dockerfile
+++ b/examples/docker/run_launcher/Dockerfile
@@ -4,31 +4,30 @@
 FROM python:3.10-slim
 
 ENV UV_SYSTEM_PYTHON=1
+ENV UV_PROJECT_ENVIRONMENT=/usr/local/
 
 # install uv
 COPY --from=ghcr.io/astral-sh/uv:latest /uv /bin/uv
 
-RUN --mount=type=cache,target=/root/.cache/uv \
-    uv pip install \
-    dagster \
-    dagster-graphql \
-    dagster-webserver \
-    dagster-postgres \
-    dagster-docker \
-    dagster-k8s \
-    ray[all]
+# Set $DAGSTER_HOME and copy dagster instance and workspace YAML there
+ENV DAGSTER_HOME=/dagster_home
 
-WORKDIR /src
+WORKDIR $DAGSTER_HOME
+
+COPY examples/docker/run_launcher/pyproject.toml examples/docker/run_launcher/uv.lock ./
 
-COPY pyproject.toml README.md ./
-COPY dagster_ray ./dagster_ray
 
 RUN --mount=type=cache,target=/root/.cache/uv \
-    uv pip install -e .
+    uv sync --no-editable --frozen
 
-# Set $DAGSTER_HOME and copy dagster instance and workspace YAML there
-ENV DAGSTER_HOME=/dagster_home
+COPY pyproject.toml README.md /dagster-ray/
+COPY dagster_ray /dagster-ray/dagster_ray
 
-WORKDIR $DAGSTER_HOME
+RUN uv pip install /dagster-ray
+
+COPY examples/docker/run_launcher/example ./example
+
+RUN --mount=type=cache,target=/root/.cache/uv \
+    uv sync --frozen --inexact
 
-COPY examples/docker/run_launcher/ ./
+COPY examples/docker/run_launcher/dagster.yaml examples/docker/run_launcher/workspace.yaml ./
diff --git a/examples/docker/run_launcher/README.md b/examples/docker/run_launcher/README.md
index 8855a699..6de6459b 100644
--- a/examples/docker/run_launcher/README.md
+++ b/examples/docker/run_launcher/README.md
@@ -8,6 +8,8 @@ docker compose up --build
 
 2. In your browser, open `localhost:3000` to access the Dagster UI and `localhost:8265` to access the Ray dashboard.
 
-3. Launch a job. Observe how the steps are executed in separate Ray jobs in parallel.
+3. Launch a job. Observe how the steps are executed in separate Ray jobs in parallel. Inspect the launched Ray jobs in the Ray dashboard.
 
-4. Make changes to `src/definitions.py`.
+4. Make changes to files in `example` package.
+
+5. Re-run the job and observe how your changes are immidiately picked up.
diff --git a/examples/docker/run_launcher/dagster.yaml b/examples/docker/run_launcher/dagster.yaml
index f5b2fe63..a503f1ca 100644
--- a/examples/docker/run_launcher/dagster.yaml
+++ b/examples/docker/run_launcher/dagster.yaml
@@ -1,10 +1,3 @@
-scheduler:
-  module: dagster.core.scheduler
-  class: DagsterDaemonScheduler
-
-run_coordinator:
-  module: dagster.core.run_coordinator
-  class: QueuedRunCoordinator
 
 run_launcher:
   module: dagster_ray
@@ -13,12 +6,20 @@ run_launcher:
     ray:
       address: http://ray-head:8265
       runtime_env:
-        working_dir: /dagster_home
+        working_dir: "."
       env_vars:
         - DAGSTER_POSTGRES_USER
         - DAGSTER_POSTGRES_PASSWORD
         - DAGSTER_POSTGRES_DB
 
+scheduler:
+  module: dagster.core.scheduler
+  class: DagsterDaemonScheduler
+
+run_coordinator:
+  module: dagster.core.run_coordinator
+  class: QueuedRunCoordinator
+
 run_storage:
   module: dagster_postgres.run_storage
   class: PostgresRunStorage
@@ -61,5 +62,19 @@ event_log_storage:
         env: DAGSTER_POSTGRES_DB
       port: 5432
 
+
+local_artifact_storage:
+  module: dagster.core.storage.root
+  class: LocalArtifactStorage
+  config:
+    base_dir: /storage
+
+
+compute_logs:
+  module: dagster.core.storage.local_compute_log_manager
+  class: LocalComputeLogManager
+  config:
+    base_dir: /logs
+
 telemetry:
   enabled: false
diff --git a/examples/docker/run_launcher/definitions.py b/examples/docker/run_launcher/definitions.py
deleted file mode 100644
index 22b5d3da..00000000
--- a/examples/docker/run_launcher/definitions.py
+++ /dev/null
@@ -1,50 +0,0 @@
-import time
-
-from dagster import Config, Definitions, OpExecutionContext, job, op
-
-from dagster_ray import RayIOManager
-
-
-class MyConfig(Config):
-    sleep_for: int = 3
-
-
-@op
-def return_one(context: OpExecutionContext, config: MyConfig) -> int:
-    context.log.info(f"sleeping for {config.sleep_for} seconds...")
-    time.sleep(config.sleep_for)
-    context.log.info("Waking up!")
-
-    return 1
-
-
-@op
-def return_two(context: OpExecutionContext, config: MyConfig) -> int:
-    context.log.info(f"sleeping for {config.sleep_for} seconds...")
-    time.sleep(config.sleep_for)
-    context.log.info("Waking up!")
-
-    import os
-
-    context.log.info(str(os.listdir(".")))
-
-    return 2
-
-
-@op
-def sum_one_and_two(a: int, b: int) -> int:
-    res = a + b
-
-    assert res == 3
-
-    return res
-
-
-@job(tags={"dagster-ray/config": {"num_cpus": 0.5}})
-def my_job():
-    return_two_result = return_two()
-    return_one_result = return_one()
-    sum_one_and_two(return_one_result, return_two_result)
-
-
-definitions = Definitions(jobs=[my_job], resources={"io_manager": RayIOManager()})
diff --git a/examples/docker/run_launcher/docker-compose.yml b/examples/docker/run_launcher/docker-compose.yml
index 7a4267c0..0afc5b5b 100644
--- a/examples/docker/run_launcher/docker-compose.yml
+++ b/examples/docker/run_launcher/docker-compose.yml
@@ -9,26 +9,28 @@ services:
     volumes:
       - ./dagster.yaml:/dagster_home/dagster.yaml
       - ./workspace.yaml:/dagster_home/workspace.yaml
-      - /tmp/io_manager_storage:/tmp/io_manager_storage
+      - storage:/storage
+      - logs:/logs
     networks:
       - db
 
-  ray-worker:
-    build:
-      context: ../../../
-      dockerfile: examples/docker/run_launcher/Dockerfile
-    command: ["ray", "start", "--block", "--address", "ray-head:6379"]
-    volumes:
-      - ./dagster.yaml:/dagster_home/dagster.yaml
-      - ./workspace.yaml:/dagster_home/workspace.yaml
-      - /tmp/io_manager_storage:/tmp/io_manager_storage
-    depends_on:
-      - ray-head
-    networks:
-      - db
-    deploy:
-      mode: replicated
-      replicas: 2
+  # ray-worker:
+  #   build:
+  #     context: ../../../
+  #     dockerfile: examples/docker/run_launcher/Dockerfile
+  #   command: ["ray", "start", "--block", "--address", "ray-head:6379"]
+  #   volumes:
+  #     - ./dagster.yaml:/dagster_home/dagster.yaml
+  #     - ./workspace.yaml:/dagster_home/workspace.yaml
+  #     - storage:/storage
+  #     - logs:/logs
+  #   depends_on:
+  #     - ray-head
+  #   networks:
+  #     - db
+  #   deploy:
+  #     mode: replicated
+  #     replicas: 2
 
   # This service runs the postgres DB used by dagster for run storage, schedule storage,
   # and event log storage.
@@ -52,16 +54,16 @@ services:
       DAGSTER_POSTGRES_DB: "postgres_db"
     command:
       - dagster
-      - api
-      - grpc
-      - --python-file
-      - /dagster_home/definitions.py
+      - code-server
+      - start
       - --host
-      - 0.0.0.0
+      - "0.0.0.0"
       - --port
       - "4266"
+      - --package-name
+      - example
     volumes:
-      - .:/dagster_home
+      - ./example:/dagster_home/example
     networks:
       - db
 
@@ -69,14 +71,14 @@ services:
     build:
       context: ../../../
       dockerfile: examples/docker/run_launcher/Dockerfile
-    entrypoint:
+    command:
       - dagster-webserver
       - -h
       - "0.0.0.0"
       - -p
       - "3000"
       - -w
-      - workspace.yaml
+      - /dagster_home/workspace.yaml
     expose:
       - "3000"
     ports:
@@ -87,7 +89,9 @@ services:
       DAGSTER_POSTGRES_DB: "postgres_db"
     volumes: # Make docker client accessible so we can terminate containers from the webserver
       - /var/run/docker.sock:/var/run/docker.sock
-      - /tmp/io_manager_storage:/tmp/io_manager_storage
+      - storage:/storage
+      - logs:/logs
+      - ./example:/dagster_home/example
     networks:
       - db
     depends_on:
@@ -98,9 +102,11 @@ services:
     build:
       context: ../../../
       dockerfile: examples/docker/run_launcher/Dockerfile
-    entrypoint:
+    command:
       - dagster-daemon
       - run
+      - -w
+      - /dagster_home/workspace.yaml
     restart: on-failure
     environment:
       DAGSTER_POSTGRES_USER: "postgres_user"
@@ -108,8 +114,9 @@ services:
       DAGSTER_POSTGRES_DB: "postgres_db"
     volumes: # Make docker client accessible so we can launch containers using host docker
       - /var/run/docker.sock:/var/run/docker.sock
-      - /tmp/io_manager_storage:/tmp/io_manager_storage
-      - .:/dagster_home
+      - ./example:/dagster_home/example
+      - storage:/storage
+      - logs:/logs
     networks:
       - db
     depends_on:
@@ -120,3 +127,7 @@ networks:
   db:
     driver: bridge
     name: db
+
+volumes:
+  logs:
+  storage:
diff --git a/examples/docker/run_launcher/example/__init__.py b/examples/docker/run_launcher/example/__init__.py
new file mode 100644
index 00000000..1a750a1e
--- /dev/null
+++ b/examples/docker/run_launcher/example/__init__.py
@@ -0,0 +1,3 @@
+from example.definitions import definitions
+
+__all__ = ["definitions"]
diff --git a/examples/docker/run_launcher/example/definitions.py b/examples/docker/run_launcher/example/definitions.py
new file mode 100644
index 00000000..95da20f7
--- /dev/null
+++ b/examples/docker/run_launcher/example/definitions.py
@@ -0,0 +1,16 @@
+from dagster import Definitions, job
+
+from dagster_ray import RayIOManager, ray_executor
+from example.ops import inspect_files, run_ray_compute, sum_two_values
+
+configured_ray_executor = ray_executor.configured(
+    {"ray": {"env_vars": ["DAGSTER_POSTGRES_USER", "DAGSTER_POSTGRES_PASSWORD", "DAGSTER_POSTGRES_DB"]}}
+)
+
+
+@job(tags={"dagster-ray/config": {"num_cpus": 0.5}}, executor_def=configured_ray_executor)
+def my_job():
+    sum_two_values(run_ray_compute(), inspect_files())
+
+
+definitions = Definitions(jobs=[my_job], resources={"io_manager": RayIOManager()}, executor=configured_ray_executor)
diff --git a/examples/docker/run_launcher/example/ops.py b/examples/docker/run_launcher/example/ops.py
new file mode 100644
index 00000000..223beaab
--- /dev/null
+++ b/examples/docker/run_launcher/example/ops.py
@@ -0,0 +1,35 @@
+import os
+
+import ray  # noqa
+from dagster import OpExecutionContext, op
+
+
+@ray.remote(num_cpus=4)
+def my_func():
+    print("hello from a remote function!")
+    return 1
+
+
+@op
+def run_ray_compute(context: OpExecutionContext) -> int:
+    result = ray.get(my_func.remote())
+
+    context.log.info(f"result: {result}")
+
+    return result
+
+
+@op
+def inspect_files(context: OpExecutionContext) -> int:
+    context.log.info(f"Contents of example: {os.listdir('example')}")
+
+    return len(os.listdir("example"))
+
+
+@op
+def sum_two_values(context: OpExecutionContext, a: int, b: int) -> int:
+    res = a + b
+
+    context.log.info(f"Sum is: {res}")
+
+    return res
diff --git a/examples/docker/run_launcher/pyproject.toml b/examples/docker/run_launcher/pyproject.toml
new file mode 100644
index 00000000..f85035bf
--- /dev/null
+++ b/examples/docker/run_launcher/pyproject.toml
@@ -0,0 +1,18 @@
+[project]
+name = "example"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.8.1"
+dependencies = [
+    "dagster",
+    "dagster-graphql",
+    "dagster-webserver",
+    "dagster-postgres",
+    "dagster-docker",
+    "dagster-k8s",
+    "ray[all]"
+]
+
+[tool.dagster]
+module_name = "example.definitions"
diff --git a/examples/docker/run_launcher/uv.lock b/examples/docker/run_launcher/uv.lock
new file mode 100644
index 00000000..862943e5
--- /dev/null
+++ b/examples/docker/run_launcher/uv.lock
@@ -0,0 +1,3873 @@
+version = 1
+requires-python = ">=3.8.1"
+resolution-markers = [
+    "python_full_version < '3.10'",
+    "python_full_version == '3.10.*'",
+    "python_full_version == '3.11.*'",
+    "python_full_version == '3.12.*'",
+    "python_full_version >= '3.13'",
+]
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.4.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/bc/69/2f6d5a019bd02e920a3417689a89887b39ad1e350b562f9955693d900c40/aiohappyeyeballs-2.4.3.tar.gz", hash = "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586", size = 21809 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/f7/d8/120cd0fe3e8530df0539e71ba9683eade12cae103dd7543e50d15f737917/aiohappyeyeballs-2.4.3-py3-none-any.whl", hash = "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572", size = 14742 },
+]
+
+[[package]]
+name = "aiohttp"
+version = "3.10.10"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "aiohappyeyeballs" },
+    { name = "aiosignal" },
+    { name = "async-timeout", marker = "python_full_version < '3.11'" },
+    { name = "attrs" },
+    { name = "frozenlist" },
+    { name = "multidict" },
+    { name = "yarl" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/17/7e/16e57e6cf20eb62481a2f9ce8674328407187950ccc602ad07c685279141/aiohttp-3.10.10.tar.gz", hash = "sha256:0631dd7c9f0822cc61c88586ca76d5b5ada26538097d0f1df510b082bad3411a", size = 7542993 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3d/dd/3d40c0e67e79c5c42671e3e268742f1ff96c6573ca43823563d01abd9475/aiohttp-3.10.10-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:be7443669ae9c016b71f402e43208e13ddf00912f47f623ee5994e12fc7d4b3f", size = 586969 },
+    { url = "https://files.pythonhosted.org/packages/75/64/8de41b5555e5b43ef6d4ed1261891d33fe45ecc6cb62875bfafb90b9ab93/aiohttp-3.10.10-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7b06b7843929e41a94ea09eb1ce3927865387e3e23ebe108e0d0d09b08d25be9", size = 399367 },
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