Job Recommendation with Agentforce

Help applicants find relevant job openings based on their profile information, preferred location, or specified distance. The Job Recommendation Agent is an AI-powered assistant designed for your Experience Cloud site (Applicant Portal).

The agent interacts with applicants through a chat interface to provide personalized job recommendations.

The agent leverages several Salesforce technologies:

• Agentforce: Built using an Agentforce Employee Agent template, allowing configuration and deployment within Salesforce.
• Applicant Profile Data: Utilizes applicant data stored in Salesforce objects (such as Person Education, Person Employment, and Person Competency) to tailor recommendations. Maintaining an up-to-date applicant profile is crucial for relevant suggestions.
• Einstein Search and RAG: Uses a configured Einstein Search retriever (Retrieval Augmented Generation) to find matching Recruitment Posting records based on the applicant's profile and queries.
• Standard Flows and Actions: Employs pre-built flows and actions, included in the Job Recommendation Agent Topic, to process requests, query data, format results, and interact with the user.

Public Sector Solutions provides a pre-built Job Recommendation Agent Topic containing the necessary flows, prompt templates, and actions for the agent to function.

• Configure Prerequisites for the Job Recommendation Agent
  Before you set up the Job Recommendation Agent, ensure your Salesforce org meets the requirements, assign permissions, and enable necessary features.
• Set Up Data and Search
  Prepare your applicant profile data, configure the Einstein Search Retriever, and update the necessary flows and prompt templates.
• Set Up the Job Recommendation Agent
  Create the agent from the template, assign user access, and deploy it to your Experience Cloud site.
• Job Recommendation Agent Actions
  The Job Recommendation Agent Topic includes several standard actions (flows and prompt templates) that enable its functionality.