Google Cloud Infrastructure · Vertex AI & Cloud Run

Turn Your Website Into An
Autonomous AI Workhorse

Stop settling for a static corporate site. Deploy EngineOne using Google Cloud infrastructure to support candidate sourcing, qualifying, and automated scheduling workflows.

Initiate Technical Alignment Sprint Starting at $5,000 One-Time Setup
The Website Bottleneck

Upgrade From a Static Site to an AI Workhorse

The Old Way

Static Brochure Sites & Passive ATS

A traditional website is just a digital brochure. Candidates read a page, click apply, and disappear into a resume black hole. The burden of parsing, screening, following up, and scheduling meetings falls entirely on your human team, stalling your hiring velocity.

×Passive forms that let high-intent talent bounce
×Manual screening pipelines that take days to respond
×Fragmented tools that lack centralized, secure control
The EngineOne Way

The Autonomous Hiring Workhorse

Transform your web presence into an active worker. EngineOne can initiate natural language qualifying interviews, collect credential information, and route qualified candidates into scheduling workflows.

An always-on AI engine running hiring tasks automatically
Vertex AI agent pipelines that screen and shortlist candidates
Organization-scoped access enforced with row-level database policies
Platform Capabilities

How the AI Workhorse Executes Tasks

EngineOne combines Google Cloud services with organization-scoped application workflows to reduce repetitive hiring work.

Autonomous Sourcing & Interception

Instead of forms, visitors chat with a natural language interface powered by Gemini. The engine parses LinkedIn profiles/resumes, tests skills, and answers candidate questions instantly to increase application volume.

Google Cloud Vertex AI Vetting

EngineOne evaluates candidate answers using Vertex AI models configured against your grading rubrics. It scores experience, maps alignment, and formats review summaries automatically.

Task-Driven Agent Matrix

Workflow services coordinate sourcing, outreach, intake, credential collection, and scheduling so repetitive steps can move forward with defined review points.

Google Cloud Deployment

Application workloads run through Cloud Run and configured Google Cloud services. Customer records are scoped by organization through database access policies.

Documented Access Controls and Data Boundaries

EngineOne uses organization-scoped controls that can be reviewed with your technical and compliance teams during enterprise scoping.

Documented Model Path

We document the configured model provider, data flow, and retention requirements for the proposed deployment before implementation.

Organization-Scoped Access

Row Level Security policies scope application records to authorized organizations. ProHireHQ does not claim SOC 2 Type II certification.

Application Audit Logs

Supported application and settings events are recorded with organization context for operational review.

Current Architecture Components
Application Runtime: Cloud Run
Organization Access: Row-Level Policies
AI Model Path: Vertex AI Configured
ARCHITECTURE REVIEWED DURING SCOPING
The Implementation Tier

Enterprise Deploys Start at $5,000

We construct, test, and ship your proprietary hiring engine in under 30 days.

Custom Next.js Engine Architecture

A dedicated client intake interface tailored to your organization's brand identity, optimized for mobile completion rates.

Google Cloud Deployment Configuration

Configuration of Cloud Run resources, Vertex AI model routing, and organization-scoped Supabase data access for the agreed implementation.

Automated Intake Agent Integration

Tailored agent personalities mapped with your specific role requirements, screening criteria, and cultural heuristics.

Staff Hand-off & Verification Sprint

Live validation of access controls, type safety, and real-time streaming behavior alongside your technical team.

Deploy Your AI Workhorse on Google Cloud

Transform your website from a passive page into an active recruiting machine. Connect with our engineering team to scope your custom EngineOne deployment and map the Google Cloud services, access controls, and vetting parameters required for your workflow.