How to connect Google Vertex AI and Recruitee
Create a New Scenario to Connect Google Vertex AI and Recruitee
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Vertex AI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Vertex AI or Recruitee will be your first step. To do this, click "Choose an app," find Google Vertex AI or Recruitee, and select the appropriate trigger to start the scenario.

Add the Google Vertex AI Node
Select the Google Vertex AI node from the app selection panel on the right.

Google Vertex AI
Configure the Google Vertex AI
Click on the Google Vertex AI node to configure it. You can modify the Google Vertex AI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Recruitee Node
Next, click the plus (+) icon on the Google Vertex AI node, select Recruitee from the list of available apps, and choose the action you need from the list of nodes within Recruitee.

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Authenticate Recruitee
Now, click the Recruitee node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Recruitee settings. Authentication allows you to use Recruitee through Latenode.
Configure the Google Vertex AI and Recruitee Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Vertex AI and Recruitee Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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AI Anthropic Claude 3
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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Vertex AI, Recruitee, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Google Vertex AI and Recruitee integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Recruitee (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Vertex AI and Recruitee
Recruitee + Google Vertex AI + Slack: When a new candidate is added in Recruitee, their resume is analyzed using Google Vertex AI. If the analysis meets certain criteria, a notification is sent to a Slack channel to alert recruiters.
Recruitee + Google Vertex AI + Google Sheets: When a new candidate is added in Recruitee, Google Vertex AI analyzes their resume and the generated insights are then stored in a Google Sheet for tracking and analysis.
Google Vertex AI and Recruitee integration alternatives
About Google Vertex AI
Use Vertex AI in Latenode to build AI-powered automation. Quickly integrate machine learning models for tasks like sentiment analysis or image recognition. Automate data enrichment or content moderation workflows without complex coding. Latenode’s visual editor makes it easier to chain AI tasks and scale them reliably, paying only for the execution time of each flow.
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About Recruitee
Automate your hiring process with Recruitee in Latenode. Trigger workflows on new applications to screen candidates, send automated messages, and update other systems. Connect Recruitee to HR tools for seamless data flow and custom talent pipelines. Simplify recruiting tasks using Latenode's visual editor and scaling options.
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FAQ Google Vertex AI and Recruitee
How can I connect my Google Vertex AI account to Recruitee using Latenode?
To connect your Google Vertex AI account to Recruitee on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Vertex AI and click on "Connect".
- Authenticate your Google Vertex AI and Recruitee accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically analyze candidate sentiment using Vertex AI in Recruitee?
Yes, you can! Latenode allows seamless data flow, enabling you to send Recruitee feedback to Vertex AI for sentiment analysis, improving candidate selection with AI insights.
What types of tasks can I perform by integrating Google Vertex AI with Recruitee?
Integrating Google Vertex AI with Recruitee allows you to perform various tasks, including:
- Automating candidate screening using AI-powered resume parsing.
- Generating personalized interview questions based on candidate profiles.
- Analyzing candidate communication to predict job performance.
- Creating summaries of candidate qualifications using AI models.
- Automatically updating Recruitee with insights from Vertex AI analysis.
How does Latenode simplify Google Vertex AI prompt management for Recruitee workflows?
Latenode offers visual prompt engineering, version control, and easy testing, simplifying prompt management for efficient and accurate AI-driven Recruitee automations.
Are there any limitations to the Google Vertex AI and Recruitee integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by the Google Vertex AI and Recruitee APIs.
- The need for a Google Vertex AI account with sufficient credits.
- Complexity in designing advanced prompt engineering flows.