AIAgentforProgrammaticJobAdvertising:HireSignal

Recruviarunsarecruitmentmarketingplatformthatplacesjobadsforemployers.WebuiltanAIagentthatpostsjobsonitsown,pickstheplatformswheretherightcandidatesare,andspendseachadbudgetwithcare.Clientsgetfasteranswersandbetterhiringresults.

Scroll
Business Domain
Recruitment MarketingHR TechSaaS
Service
AI AgentsGenerative AISoftware DevelopmentCloud ServicesData Visualization
Technologies
LangChainRAGVector DatabasesGoogle CloudLooker
01 · Overview

Who is the client and what did they need?

Recruvia is an AI-powered recruitment marketing platform. Employers use it to run programmatic job advertising, which means software decides where each job ad goes and how much to spend on it.

Recruvia wanted to push that further with an AI agent. The agent should reach the right candidates on the right platforms, post jobs without manual work, make recruitment budgets go further, and give clients a better experience.

The market is crowded, and Recruvia saw this as a way to stand apart. They partnered with Xpiderz to build it. We call the agent HireSignal. It brings together smart algorithms, real-time data, and AI automation so hiring gets quicker and costs less effort.

02 · Scope and Challenge

What did Recruvia need from a partner?

Recruvia needed one team that was strong in two areas at once: solid software development and hands-on AI and machine learning engineering. The work had three aims.

  • A smarter platform. Build an AI agent that posts jobs by itself and also works out which candidates to reach and on which platforms.
  • Less manual work. Automate the routine steps so budgets are spent well and job ads land in the right places.
  • A better client experience. Give clients faster replies and more personal support through AI automation.

Put simply, Recruvia wanted every job posting to reach qualified people, without waste and without delay.

03 · Solution

How does HireSignal work?

HireSignal is an AI agent that sits inside the Recruvia platform. It reads live campaign data, decides where a job ad should run, posts it, and shifts budget toward the places that bring in good applicants.

It also helps on the support side. Clients can ask about their campaigns and get a quick answer that fits their account, without waiting for a person to look things up.

We worked side by side with Recruvia's product and technical teams the whole way. That kept the agent in line with what they expected and left a clean base for the features they plan to add.

We delivered the work in four phases:

  1. Stakeholder Engagement

    We held detailed sessions with Recruvia's teams to pin down what the agent had to achieve and how it should improve recruitment results.

  2. Intelligent Automation

    Using real-time data, we built a framework that posts jobs automatically and decides how the budget is split across platforms.

  3. AI Agent Development

    We built the agent on LangChain so it can make decisions by itself. RAG pulls the right metadata from vector databases. Semantic routers steer each request down the right workflow, and a semantic cache cuts waiting time for questions the agent has seen before.

  4. Scalable Cloud Infrastructure

    The solution runs on Google Cloud for steady performance as usage grows. Looker dashboards show campaign data as it comes in.

04 · Architecture

What technology is under the hood?

  • LangChain is the framework behind the agent's automated decisions.
  • RAG with vector databases gives the agent the right job and campaign metadata before it acts or answers.
  • Semantic routers read what a request means and send it to the matching workflow.
  • A semantic cache reuses earlier answers to similar questions, which lowers latency and cost.
  • Google Cloud hosts the solution and scales with demand.
  • Looker turns real-time data into dashboards the team can read at a glance.

Project Snapshot

What was delivered?

The client keeps its exact figures private, so here is what shipped.

Live In Use by Internal Teams The agent is running for Recruvia's internal users, with the customer rollout next.
3 Jobs the Agent Handles Posting job ads, targeting candidates, and splitting the budget.
4 Parts Inside the Agent LangChain, RAG, semantic routers, and a semantic cache.
4 Delivery Phases From stakeholder sessions through to cloud deployment on GCP.
05 · Outcome

What did the client get out of it?

The agent changed how the Recruvia platform works, for the clients who use it and for the team that runs it.

  • Faster responses. Clients get answers quickly, without waiting on manual lookups.
  • Personal support. Replies fit each client's account and campaigns.
  • Better hiring results. Job ads reach qualified people on the platforms where they are active.
  • Lower overhead. Routine tasks run by themselves and ad distribution is tuned, which cut operational cost by a wide margin.
06 · Next Steps

What happens next?

HireSignal is already live for Recruvia's internal users. The full customer rollout is the next step, and it will put the agent in front of every employer on the platform. The build was planned with later features in mind, so new abilities can be added without starting over.

Team
Project ManagerSolution ArchitectAI EngineerBackend Developer
Tech Stack
LangChainRAGVector DatabasesSemantic RouterSemantic CacheGoogle CloudLookerPython

Want an AI agent inside your own platform?

Tell us which routine work your team still does by hand. We reply within 48 hours, and everything you share stays confidential.

Next Project
Voice AIReal EstateMulti-Tenant

K2X Auto

Multi-tenant AI voice-calling platform automating seller prospecting for Australian real-estate agencies.

Next Project
Marketing AnalyticsDecision IntelligenceAutomation

InsightsBot

AI-powered marketing analytics platform that reduced reporting time by 90% and doubled client capacity.

Next Project
Market IntelligenceCompetitive AIEnterprise

Harbinger AI

Full-spectrum market intelligence platform monitoring competitive signals across six data dimensions.

Next Project
RAG SolutionAI ResearchFull Stack

Sokrateque

AI-powered personal research assistant for Master's and PhD students.

Next Project
AI AssistantWhatsApp IntegrationAutomation

Eona

Conversational AI solution automating customer engagement through WhatsApp in the UAE market.

Next Project
AI Legal TechGenerative AIPlatform

INPRO AI Legal

AI-powered legal consultation platform democratizing access to affordable legal guidance.

Next Project
Legislation AIPolicy DraftingGenerative AI

LAWEP

The world's first AI platform for legislative drafting and policy research.

Hive AI
Next Project
Product MarketingDeck DesignAI Canvas

Hive AI

Product marketing deck for YaseenAI's Hive — the AI-powered canvas for work and ideas.

DealerDesk
Next Project
AI ChatbotDealer SupportRAG

DealerDesk

AI support assistant answering dealer install questions in seconds, trained on manuals and years of real tickets.

TalentLoop
Next Project
Recruitment CRMSaaSAutomation

TalentLoop

Cloud-native recruitment CRM unifying matching, scheduling, placements, payroll, and invoicing for a US staffing agency.

CareGraph
Next Project
HealthcareAI AgentsHIPAA

CareGraph

HIPAA-compliant multi-agent clinical assistant giving clinicians patient data and guideline suggestions inside the EHR workflow.

ThreadMind
Next Project
EdTechRAGAI Agents

ThreadMind

Agentic RAG chatbot turning years of scattered Slack logs into a secure, searchable corporate brain for an EdTech company.

FormSense
Next Project
HealthcareAutomationGenerative AI

FormSense

AI document engine reading patient enrollment forms from any manufacturer, cutting processing time by 90% for a US healthcare tech provider.

HazardLens
Next Project
HealthcareGenerative AIPrompt Engineering

HazardLens

AI hazard detection reading camera images from elderly care facilities and flagging risks like water spills with 98% accuracy.

DeskMate
Next Project
AI ChatbotRAGEmployee Support

DeskMate

Secure AI support assistant answering employee questions inside Google Workspace, making ticket resolution 70% faster for a US technology enterprise.

OmniSeek
Next Project
HealthcareAI SearchLLM Development

OmniSeek

All-in-one AI search engine for a healthtech enterprise, searching SQL data, documents, and images in plain English with 90% better relevance.

ModelForge
Next Project
LLM DevelopmentMultimodal AIMLOps

ModelForge

Central AI experimentation platform for a US customer service tech company, making prototyping 40% faster and deployment to production 50% faster.

MindHaven
Next Project
HealthcareAI ChatbotGenerative AI

MindHaven

AI chatbot giving 24/7 mental health support for a US wellness startup, reaching 1000+ users in its first few days after launch.

TrackPilot
Next Project
Voice AIEntertainmentMobile App

TrackPilot

AI voice assistant letting musicians control their studio software by voice and text. The MVP raised investor interest by 65% for a music production startup.

AccrediFlow
Next Project
EducationRAGGenerative AI

AccrediFlow

AI layer writing university accreditation narratives from evidence files with every source cited, cutting preparation time by 90% for a US legal service provider.

DealSight
Next Project
Real EstateMachine LearningMLOps

DealSight

Machine learning underwriting system predicting resale value, rehab cost, and time to sell inside Salesforce, with 31% lower ARV error for a US real estate investor.

HangarIQ
Next Project
AviationRAGAI Assistant

HangarIQ

AI assistant finding past aircraft maintenance fixes in seconds with cited answers. A pilot saw about 30% fewer recurring actuator issues for a US aviation maintenance company.

ClearRoute
Next Project
AI StrategyAutomotiveAdvisory

ClearRoute

AI strategy engagement turning scattered AI experiments into one prioritized roadmap, with governance and an AI Center of Excellence, for a large US automotive services company.