diff --git a/docs/examples/job_finding.md b/docs/examples/job_finding.md
index 65782723..21e44487 100644
--- a/docs/examples/job_finding.md
+++ b/docs/examples/job_finding.md
@@ -23,14 +23,6 @@ To run the AI Job Search Swarm, you'll need to set up your Python environment an
 *   Python 3.8+
 *   An Exa API Key
 
-### Installation Steps
-
-    The `job_finding.py` script relies on several libraries. These can be installed using the `requirements.txt` file located at the root of the project.
-    ```bash
-    pip install -r requirements.txt
-    ```
-    This will install `httpx`, `python-dotenv`, `loguru`, and other necessary packages.
-
 ### API Key Configuration
 
 The `exa_search` tool used by the Search Executor Agent requires an `EXA_API_KEY`.
@@ -659,4 +651,4 @@ To get the most out of the AI Job Search Swarm:
 *   **Prompt Engineering Dependency**: The quality of the search results heavily depends on the clarity and effectiveness of the agent `system_prompt`s and the initial user input.
 *   **Exa Search Scope**: The `exa_search` tool's effectiveness is tied to the breadth and depth of Exa's indexed web content.
 *   **Iteration Control**: The current `end` method in `examples/demos/apps/job_finding.py` is simplified for demonstration. A robust production system would require a more sophisticated user interaction mechanism to determine when to stop or refine the search.
-*   **Verification Needed**: All AI-generated outputs, including job matches and summaries, should be independently verified by the user.
\ No newline at end of file
+*   **Verification Needed**: All AI-generated outputs, including job matches and summaries, should be independently verified by the user.