AI Agent Automation Expert Needed

Senior AI Agent Architect / Automation EngineerBuild an Enterprise AI Recruiting & Work Order Automation 

PlatformProject Overview
I am seeking a highly experienced AI Agent Architect / Automation Engineer to build an enterprise-grade AI automation platform for my nationwide field services and recruiting companies.

This is not a chatbot project.

The objective is to design and deploy a modular, production-ready AI agent ecosystem capable of operating 24/7 with minimal human intervention. The system will automate recruiting, resume processing, technician applications, browser automation, email workflows, and intelligent decision-making while keeping long-term operating costs as low as possible.

This project has the potential to become a long-term engagement with ongoing enhancements and additional AI agents.

Existing InfrastructureNamecheap VPS
The following services will be hosted on my Namecheap VPS:
ATS (Laravel Application)
n8n (Workflow Orchestration)
Browser Use
Playwright
MySQL
APIs
Google Workspace integrations
Dropbox integrations
Background workers
Docker

GoDaddy VPS
The GoDaddy VPS will serve as the AI processing server.
It should host:
AI Gateway
Ollama
Local LLMs
Future AI Models
API routing services

The AI Gateway should intelligently route every request to the most appropriate AI model based on the task being performed.

Example:
Routine Tasks
↓
Local Ollama Model
Complex Reasoning
↓
GPT-5.5
Future models should be able to replace Ollama without requiring changes to the rest of the platform.
The architecture must remain modular and model-agnostic.

Primary Technologies
Applicants should have significant experience with:
Required
n8n
Browser Use
Playwright
Ollama
GPT-5.5 API
Docker
Linux Administration
Python
Node.js
REST APIs
Laravel
MySQL
PostgreSQL
Redis
Google Workspace APIs
Dropbox API
Microsoft 365
IMAP / SMTP
OAuth
Browser automation

Preferred
OpenAI Agents SDK
LangGraph
CrewAI
MCP (Model Context Protocol)
OCR
PDF Parsing
Vector Databases
AI Memory Systems
Monitoring & Observability

AI Architecture Requirements
The system should include an AI Gateway responsible for routing requests intelligently.

Examples:
Resume Parsing
↓
Ollama
Email Categorization
↓
Ollama
Spreadsheet Population
↓
GPT-5.5
Complex Decision Making
↓
GPT-5.5
The routing should be configurable so models can be swapped or upgraded later.

Requirement 1
Automated Work Order Applications
The AI Agent must automatically apply to work orders on:
WorkMarket
Field Nation

The AI Agent should:
Log into both platforms.
Search for work orders matching predefined criteria.
Evaluate work orders.
Determine whether a technician is a suitable match.
Select the appropriate technician.
Generate a personalized application response.
Submit the application.
Record confirmation details.
Update internal tracking systems.

The personalized application should be tailored to each work order to maximize the probability of acceptance.
Generic copy-and-paste responses are not acceptable.

The AI should evaluate:
Technician experience
Certifications
Distance from job site
Relevant project history
Customer requirements

Then generate a customized response explaining why the technician is the best fit.

Requirement 2 - Automated Email Recruiting Workflow

The AI Agent will monitor recruiting inboxes including:
PrivateEmail.com
Microsoft Office 365

The AI Agent should process every incoming applicant email automatically.

When an email is received:
Step 1
Extract:
First Name
Last Name
Email
Phone
Address
Certifications
Skills
Desired Position
Work Authorization
Travel Availability
Any other relevant applicant information

Step 2
Detect whether a resume is attached.
If a resume exists:
Download it.
Rename it using the format:
First Name Last Name Resume.pdf
Example:
John Smith Resume.pdf

Step 3
Upload the renamed resume into the correct Dropbox folder.

Step 4
Populate the appropriate Google Spreadsheet with all extracted information.

The AI must support:
Multiple Google Spreadsheets
Multiple worksheet tabs
Duplicate detection
Updating existing records when appropriate

Step 5
If no resume is attached
The AI Agent must search for an existing resume in the following order:
Dropbox
www.fieldservicesnetwork.com
www.americastechnicianservices.com
www.cuttingedge-it.com

The AI Agent will receive login credentials for all required systems.

If a Resume Is Found
The AI should:
Retrieve the resume.
Continue processing the application.
Complete the Google Spreadsheet entry.
Respond to the technician confirming that their application has been received.
If No Resume Is Found
The AI should:
Add all available applicant information to the Google Spreadsheet.
Flag the applicant as Resume Requested.
Automatically send a professional email requesting a copy of the resume.
Continue monitoring for the applicant's reply.

ATS Integration
Every completed applicant must automatically be submitted to my existing ATS AI Resume Screener.

The ATS Resume Screener has already been developed.

The new AI Agent simply needs to integrate with it and trigger the screening workflow.

Browser Automation
The AI Agent should use Browser Use and Playwright to:
Log into websites
Navigate portals
Read webpages
Upload resumes
Fill forms
Submit applications
Download documents
Handle multi-step workflows

The AI Agent will receive login credentials in advance.

Google Workspace Automation
The AI Agent must support:
Google Sheets
Google Drive
Gmail
Shared Drives
Multiple spreadsheets
Multiple worksheet tabs

Dropbox Automation
The AI should:
Create folders when necessary
Rename resumes
Detect duplicates
Replace outdated resumes
Maintain organized folder structures
Reliability Requirements

The solution must:
Operate 24/7
Automatically recover after failures
Log all activity
Retry failed workflows
Generate error notifications
Be modular
Be fully documented
Be easy to extend

Future Expansion
This project is Phase 1 of a much larger AI platform.
Future AI Agents will include:
Resume Processing Agent
Recruiting Agent
Technician Matching Agent
Dispatch Agent
Customer Communication Agent
Reporting Agent
Analytics Agent
Scheduling Agent
Client Follow-up Agent

The selected developer should build a scalable foundation capable of supporting additional AI agents over time.

What I'm Looking For
I am looking for someone who has built production AI automation systems, not someone who has only experimented with AI tools.

Please include the following in your proposal:
A description of AI agent systems you have built.
Examples of production deployments using n8n.
Experience with Browser Use and Playwright.
Experience deploying Ollama.
Experience integrating GPT-5.5 or comparable frontier models.
Experience building modular AI architectures with interchangeable models.
Experience integrating Google Workspace APIs.
Experience integrating Dropbox.
Experience with IMAP, SMTP, Microsoft 365, and PrivateEmail.
Your recommended architecture for this project.
How you would minimize ongoing AI costs while maintaining high-quality automation.
An estimated timeline and proposed milestones.

Preferred Candidate
The ideal candidate thinks like an AI Solutions Architect, not simply a software developer.

They should be able to recommend improvements to the overall architecture, prioritize long-term maintainability, and build a platform that can evolve as AI models and tools improve.

This is intended to become the foundation of a long-term enterprise AI automation platform for nationwide recruiting and field service operations.

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