All projects

AI assistantfor job search.

From the first question to the next opportunity. A WhatsApp conversation builds a profile, suggests relevant jobs and keeps candidates engaged.

Job AI: Hi! What kind of work are you looking for? Candidate: Restaurant shifts in Milan, mainly at weekends. Job AI: Great. What hospitality experience do you have? Candidate: Two years in restaurants and events. Job AI: Here’s a shift that fits your preferences. Candidate: Who decides whether I get the job? Job AI: The company chooses from the applicants. If selected, you’ll receive a notification in the app. Candidate: Can I ask them about the shift? Job AI: Once hired, you can chat with the employer and your shift team in the app. Job AI: A new weekend shift is available in Milan. Would you like to see it? Candidate: Yes, please! Job AI: Let’s review the details in the app.

From conversation to application.

In on-demand work, every step between initial interest, registration and application can interrupt the journey. For an on-demand work platform serving hospitality, events and logistics, we worked on an assistant that gets to know candidates through conversation and guides them towards opportunities aligned with their preferences.

  • Conversational onboarding
  • Opportunity matching
  • Proactive engagement

What we designed.

The assistant combines conversation, candidate information and access to platform services. Questions build context, matching makes suggestions relevant and engagement keeps the relationship active after the first search.

01

Get to know candidates through conversation

Natural-language questions capture interests, experience and information relevant to the search. Onboarding adapts to the answers and the type of work the candidate wants.

02

Prioritise relevant opportunities

The profile guides searches across the platform’s job listings. Opportunities are ranked by their fit with the information provided, helping the candidate decide where to begin.

03

Restart the conversation when it matters

New opportunities can be sent proactively to candidates. The conversation stays two-way: people ask for clarification and receive support with their next steps.

Input data

Preferences, experience and location

Processing

Conversation, profile and APIs

What it enables

Opportunities, support and follow-up

A conversation connected to data

Profile, opportunities and service knowledge give answers their context.

The information that makes the conversation useful

Candidate profile

The conversation captures the context needed for the search.

  • Roles and interests
  • Work experience
  • Location and preferences

Platform opportunities

Suggestions stay connected to business data and services.

  • Available listings
  • Position requirements
  • API access

Service knowledge

Answers help candidates understand the process.

  • How to apply
  • Notifications and confirmations
  • Contacts and support

The journey from the first question to the next opportunity

Three steps connect the conversation to platform opportunities.

Build the person’s context

The assistant asks, listens and explores the information relevant to the desired work.

  • Desired roles
  • Experience
  • Location and preferences
What this step enables

A profile that supports the search.

Find relevant opportunities

The information collected guides search and the ranking of opportunities returned by the platform.

  • API access to listings
  • Profile fit
  • Clarification in chat
What this step enables

Opportunities to explore and consider.

Continue the conversation over time

A new opportunity restarts contact. The candidate can reply and explore it without starting the journey again.

  • New suggestions
  • Proactive notifications
  • Two-way interaction
What this step enables

A relationship that continues after onboarding.

Three parts of the same journey

The first project scope focuses on candidates: onboarding, opportunity matching and engagement.

Intelligent onboarding

Registration becomes a conversation guided by the person’s answers.

Relevant questions
The assistant gathers information relevant to the desired role and explores the stated experience.
Structured profile
Answers become information that supports search and personalised suggestions.

Opportunity matching

The search starts with the person and the available listings.

Connected search
APIs connect the assistant to opportunities in the platform.
Opportunity ranking
Listings are ordered by fit with the profile. Candidates can ask for clarification before proceeding.

Proactive engagement

The relationship continues beyond the first conversation.

New opportunities
Relevant opportunities restart contact with the candidate through messaging.
Process support
The knowledge base supports recurring questions about applications, confirmations and contacts. The company offering the job makes the final candidate selection.

An assistant within the existing journey

The project brings AI into the messaging channel and connects it to information from the job search platform. The conversation on this page illustrates a hospitality candidate’s journey: preferences, experience, a suggested opportunity and clarification before applying.

Questions along the search journey

  • Which jobs fit my experience?
  • Are there opportunities in my preferred city?
  • How will I know if my application is selected?
  • How do I contact the company after confirmation?

What it makespossible.

  • A conversational journey from onboarding to job opportunities.
  • Opportunities prioritised according to the profile and stated preferences.
  • New opportunities and support in the same messaging channel.

Want to guide your users with a conversational assistant?

Want to guide your users with a conversational assistant?

Tell us about your project
Conceptual illustration: AI technical support for medical devices.
Keep exploring

AI technical support for medical devices.

Manuals, spare parts and device status in one conversation. Two MCP servers connect technical knowledge and operational data to support technicians, workshops and warehouse teams.

Tell us about your challenge.

Your people, your processes or a new project. Let’s find the right place to start.

Or email us directlyinfo@icarex.ai

Fields marked with * are required.

We look forward to hearing what you have in mind.