diff --git a/examples/job-catalog/src/openai.ts b/examples/job-catalog/src/openai.ts
index 35be1fa490..dd6a84ef2a 100644
--- a/examples/job-catalog/src/openai.ts
+++ b/examples/job-catalog/src/openai.ts
@@ -10,6 +10,47 @@ export const client = new TriggerClient({
   ioLogLocalEnabled: true,
 });
 
+const functions = [
+  {
+    "name": "get_current_affairs",
+    "description": "Get the current affairs from google",
+    "parameters": {
+      "type": "object",
+      "properties": {
+        "query": {
+          "type": "string",
+          "description": "query to search for google result",
+        }
+      },
+      "required": ["query"],
+    },
+  }
+]
+
+type ChatMessage = {
+  role: 'system' | 'user' | 'assistant' | 'function';
+  content: string;
+  name?: string;
+  function_call?: () => void
+};
+
+const chatMessages: ChatMessage[] = [
+  {
+    role: "user",
+    content: "who won fifa world cup 2022 with some related links to read more about it",
+  }
+]
+
+const get_current_affairs = async (query: string) => {
+  //Call to google search api
+  // const results = await fetch(`https://www.googleapis.com/customsearch/v1?${query}`);
+  return 'Argentina national football team'
+}
+
+const available_functions: Record<string, (query: string) => Promise<string>> = {
+  get_current_affairs: get_current_affairs,
+};
+
 const openai = new OpenAI({
   id: "openai",
   apiKey: process.env["OPENAI_API_KEY"]!,
@@ -74,6 +115,44 @@ client.defineJob({
       model: "text-embedding-ada-002",
       input: "The food was delicious and the waiter...",
     });
+
+    //Function call example for OpenAI
+    //Send the conversation and available functions to GPT
+    const createCompletion = async () => {
+      const chatCompletion = await io.openai.createChatCompletion("chat-completion", {
+        model: "gpt-3.5-turbo",
+        messages: chatMessages,
+        functions,
+        function_call: "auto"
+      });
+      return chatCompletion
+    }
+
+    const chatCompletion = await createCompletion();
+    // This response will contain JSON which contains function name and args 
+    // that you can use to call the function in your code.
+    const response = chatCompletion?.choices[0].message;
+
+    if ('function_call' in response) {
+      const function_name: string = "get_current_affairs";
+      const function_call = available_functions[function_name];
+      //Get arguments from GPT response
+      const args = JSON.parse(response['function_call']?.['arguments'] || '{}');
+
+      //Call the function in our code using the arguments from openAI
+      const fn_response = await function_call(...Object.values(args) as [string]);
+
+      // Extend conversation with function result & Get new response from GPT 
+      chatMessages.push({
+        role: 'function',
+        name: function_name,
+        content: fn_response
+      })
+      const finalCompletion = await createCompletion();
+
+      //This will contain the final result
+      await io.logger.info(finalCompletion?.choices[0].message.content?.toString() || '');
+    }
   },
 });