AI Agent for job recommendations

With Eloquent you can easily create an AI agent for job boards that gives visitors tailored job recommendations based on their preferences. Instead of endless scrolling, users receive a curated set of opportunities presented in clean, easy-to-read cards. Every visitor gets a unique journey, making your job board more engaging and more effective. A must-have for any platform connecting people to careers.

How it works

The agent is trained on your job board data — the listings, categories, and descriptions. When a visitor interacts, the agent:

• Asks clarifying questions to understand their background, skills, and preferences.
• Matches those needs to the jobs in the knowledge base.
• Presents recommendations as a clear, structured overview (e.g. in cards).
• Optionally collects user details or helps them set up an appointment with a recruiter.

Our recommendations

• Make it visible → Place the agent above the job board or above the fold on your homepage.
• Set expectations → Be transparent that it’s AI — users care about speed and accuracy, not pretending it’s a human recruiter.
• Keep it fresh → Your job board changes constantly, so enable indexing every 24 hours to keep listings up to date.
• Use the right interface → Put the interface above the fold on landing pages, and add a header button for instant access.

What can it do?

• Recommend jobs based on user preferences and needs.
• Collect personal data (e.g. name, email, CV) to pass leads directly to recruiters.
• Summarize opportunities in a way that’s easier to digest than long search lists.
• Trigger follow-up workflows like scheduling interviews or sending application details.

What pain points does it solve?

• Users abandoning job boards because they can’t find relevant jobs quickly.
• Overwhelming search results that don’t reflect personal needs.
• Recruiters wasting time on irrelevant applications.
• Lack of personalization in the job search process.
• Missed opportunities when candidates fail to discover matching roles.

Who it’s for

This use case is especially relevant for:

• Job boards & recruitment platforms → offering tailored recommendations instead of generic search.
• Staffing agencies → guiding candidates to the right vacancies automatically.
• Corporate career sites → helping applicants navigate large lists of open positions.
• Education & training providers → matching graduates with entry-level opportunities.
• Public employment services → making it easier for citizens to find relevant work quickly.

How to set it up

We’ll soon be releasing templates so you can configure this agent in minutes. Until then, we recommend:

• Agent temperature: 0.1 (precise, fact-based recommendations).
• Reranking: On (to improve accuracy across larger datasets of jobs).
• Embeddings: 20 (enough context for broad job boards).
• Similarity: Default.

Example in action

• National job board → An agent recommends jobs by asking candidates about their preferred location, role type, and seniority level. Candidates get 5 tailored recommendations in clean cards, making them more likely to apply.
• Staffing agency → A recruitment agent collects applicant details and pre-qualifies them for specific roles, saving recruiters hours of intake work.

In both cases, the agent transforms a static job board into a personalized career assistant, creating better matches for candidates and higher conversion rates for employers.

This is a high-value use case for agencies working in HR, staffing, or education — because it connects AI directly to jobs, careers, and real outcomes.