AI Agent Automation Expert Needed

@kamran2012

This looks like a great fit, Hi, I will deliver your two core agents first: the WorkMarket/Field Nation auto-applicator (Browser Use + Playwright login, criteria matching, personalized responses per technician profile) and the email recruiting pipeline (extract applicant data, rename and upload resumes to Dropbox, populate Google Sheets, trigger your existing ATS screener). On a similar build, splitting an AI Gateway between Ollama for parsing and a frontier model for reasoning cut API costs by roughly 60% without sacrificing output quality. Questions: 1) Are your Namecheap and GoDaddy VPS instances already running Docker, or do they need provisioning? 2) How many technician profiles will the WorkMarket/Field Nation agent evaluate against initially? Share your n8n instance URL and I will map the first workflow tonight. Looking forward to discussing further. Best regards, Kamran

@jayprakashyadav

Hi, Your project is exactly the kind of enterprise AI automation platform I enjoy building. I can develop a modular, production-ready system using n8n, Python/Node.js, Playwright, Docker, Laravel, MySQL/PostgreSQL, Redis, Google Workspace APIs, Dropbox, IMAP/SMTP, and GPT APIs with a scalable architecture that supports future AI agents. My approach is to build an AI Gateway that intelligently routes requests to the most suitable model. Routine tasks like email classification, resume parsing, and data extraction can run on local Ollama models to minimize costs, while complex reasoning, technician matching, and personalized application generation are handled by GPT-5.5. Because routing is configurable, future models can be added without changing the rest of the platform. Everything will be containerized with Docker, documented, and designed as reusable services so future agents like Dispatch, Scheduling, Reporting, and Customer Communication can be added easily. I'd be happy to discuss your existing ATS and recommend additional improvements to ensure the platform remains scalable, maintainable, and cost-efficient over the long term. Looking forward to working with you! Jay

@sarimshoaib1425

100% doable. Just deployed 4 separate AI agents for a law firm that handled intake and follow-ups start to finish, so building out a modular agent system that routes tasks between models and automates recruiting workflows is right in my lane. I'd set up the AI Gateway with n8n as the orchestration layer, routing simple tasks like resume parsing and email categorization to Ollama locally and only sending the complex reasoning calls out to GPT, that keeps your ongoing costs low since most volume never hits a paid API. Browser Use and Playwright handle the WorkMarket and Field Nation applications, Dropbox and Google Sheets get wired in through their native APIs for the resume handling and spreadsheet population, and everything logs and retries automatically so it stays resilient running 24/7 without you babysitting it. Given the scope I'd start with a working Phase 1 slice, the email recruiting workflow end to end, then layer in the work order automation, so you see real progress fast rather than waiting on one big reveal. Let's do it.

@ZohaibRoy

⭐⭐⭐⭐⭐ Build an Advanced AI Automation Platform for Your Business ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and noticed you're looking for an AI Agent Architect / Automation Engineer. Look no further; Zohaib is here to help you! My team has completed 50+ similar projects for AI automation platforms. I will design and deploy a modular AI ecosystem that operates 24/7 with minimal human involvement, ensuring efficiency and cost-effectiveness. ➡️ Why Me? I can easily build your AI automation platform as I have 5 years of experience in AI architecture, automation systems, and integration. My expertise includes n8n, Playwright, Docker, and Python. Additionally, I have a strong grip on other relevant technologies, ensuring a comprehensive solution that meets your needs. ➡️ Let's have a quick chat to discuss your project in detail, and I can share samples of my previous work. I look forward to discussing this with you! ➡️ Skills & Experience: ✅ n8n ✅ Playwright ✅ Python ✅ Docker ✅ Laravel ✅ MySQL ✅ Google Workspace APIs ✅ Dropbox API ✅ REST APIs ✅ Browser Automation ✅ Linux Administration ✅ IMAP/SMTP Waiting for your response! Best Regards, Zohaib

@RusianD

Hello After careful review of your requirements, I am confident that I can successfully complete this project, and I hereby submit this proposal. I understand that your objective is to develop and optimize AI agent automation workflows that improve operational efficiency, automate repetitive tasks, and integrate seamlessly with your existing systems. I have strong experience in AI agents, workflow automation, LLM integrations, API development, Python, and building scalable automation solutions. This demonstrates that my skills are a good fit for your project. To realize this project, I would begin by analyzing your business processes, automation goals, and system integrations to design an efficient AI agent architecture. I would develop intelligent agents capable of executing workflows, interacting with APIs, processing data, and coordinating tasks while ensuring reliable performance and secure communication. Additionally, I would focus on scalability, monitoring, maintainable code, and continuous optimization so the solution can evolve alongside your business requirements. I can provide solution and my experience for this project via a private chat. I have got ideas brewing for your project, but I’d like to make sure they are aligned with what you want. Warm regards Ruslan

@SkillCrafts

I understand you're looking for an AI Agent Architect to build a robust, enterprise-grade automation platform, not a simple chatbot. My experience developing similar modular agent ecosystems for complex operational workflows, including automated candidate sourcing and background checks, directly aligns with your need for a 24/7, low-maintenance solution. My approach will focus on a microservices architecture leveraging Python with frameworks like LangChain or LlamaIndex for agent orchestration and tool integration. We'll implement state management using a distributed message queue (e.g., Kafka or RabbitMQ) and utilize vector databases (e.g., Pinecone or Chroma) for efficient knowledge retrieval. For browser automation, Selenium or Playwright will be integrated. A phased rollout will prioritize core recruiting automation, followed by field services workflows, with continuous monitoring and optimization for cost-efficiency. To ensure alignment, could you clarify the primary data sources for the recruiting automation component? Also, what are the key performance indicators (KPIs) you'll be using to measure the success of the technician application automation? I'm confident I can deliver the scalable and efficient platform you envision. Let's schedule a brief call to discuss how my expertise can benefit your project.

@techsty2014

Hello there, We will build your modular AI agent platform across both VPS instances: an AI Gateway on GoDaddy routing tasks to Ollama or GPT based on complexity, and n8n orchestrating recruiting, email processing, and work order workflows on Namecheap. For the gateway, we will use a config-driven routing layer so swapping Ollama for a future model requires only a JSON change. No code rewrites needed. This keeps the entire system model-agnostic from day one. A couple of quick things to confirm: 1) Are WorkMarket and Field Nation standard web portals, or do they offer any API access? 2) How many recruiting inboxes (across PrivateEmail and Office 365) will the system need to monitor at launch? The number quoted here is a starting estimate. Send me a message and we can go over the details. Best regards, Faizan

@codeandcommand

What kind of agents are you building? Voice agents and text-to-text pipelines take very different approaches, and knowing that upfront saves a week of back-and-forth. I work in Python and Node.js and am available to start today. Initial prototype in 3 to 5 days. These numbers are based on the description as written. Final scope and pricing get confirmed after we talk. Want to jump on a quick call?

@mahads31

Hi, Your platform is really an AI orchestration system rather than a collection of individual automations, so I'd build it around a modular AI Gateway that routes each task to the most appropriate model while keeping the rest of the platform model-agnostic. The recruiting, browser automation, ATS integration, work order applications, and email workflows would operate as independent services coordinated through n8n, making it straightforward to add future agents without redesigning the architecture. I'd use Dockerized services across both VPS environments, with FastAPI or Node.js for the AI Gateway, Ollama for routine inference, GPT-5.5 for higher-reasoning tasks, Redis-backed queues for resilience, Playwright and Browser Use for browser automation, and structured integrations with Laravel, Google Workspace, Dropbox, IMAP/SMTP, and Microsoft 365. Cost control would come from intelligent model routing, prompt optimization, caching where appropriate, and only invoking frontier models when local inference cannot reliably complete the task, while comprehensive logging, retries, monitoring, and documentation ensure the platform runs continuously.

@hugog17

Hi, This is exactly the type of AI automation system I work with: n8n, Playwright, Browser Use, local LLMs, API integrations, email processing, document parsing, and reliable background workflows. Would build a modular AI Gateway on your GoDaddy VPS that routes simple tasks to Ollama and complex tasks to GPT-5.5. The Namecheap VPS would run n8n, Laravel integrations, browser automation, queues, Redis, MySQL/PostgreSQL, and Docker services. Phase 1 would include: • Email monitoring for PrivateEmail and Microsoft 365 • Resume extraction, renaming, Dropbox upload, and duplicate checks • Google Sheets updates across multiple tabs • Automatic resume-request and confirmation emails • ATS integration • WorkMarket and Field Nation matching workflows • Playwright-based form filling and application tracking • Logs, retries, alerts, and failure recovery The main risk is browser automation because MFA, CAPTCHA, anti-bot systems, and platform rules can affect fully automatic submissions. I would test each portal first and use safe approval steps where required. To reduce AI costs, routine parsing and classification will run locally through Ollama, while GPT-5.5 will only handle complex reasoning and personalized responses. Phase 1 timeline: 4-5 weeks Fixed budget: $750 One question: do WorkMarket and Field Nation currently require MFA or CAPTCHA on every login? Hugo

@LakshkarPVTLtd

Hello, I have reviewed your requirements for building a modular AI automation platform for recruiting and field service operations. This project requires a scalable AI agent ecosystem, not just a chatbot. My approach would focus on building a reliable architecture using workflow automation, AI model routing, browser automation, and API integrations. Key implementation areas: • n8n workflow orchestration for automated processes • AI Gateway architecture to route tasks between local Ollama models and advanced LLM APIs • Docker-based deployment with scalable services • Browser automation using Playwright/Browser Use • Integrations with Google Workspace, Dropbox, Microsoft 365, email systems, and ATS • Logging, retries, monitoring, and error handling for 24/7 operation To reduce ongoing AI costs, I would use local models for repetitive tasks like email classification and data extraction, while using advanced models only for complex reasoning and decision-making. I would start with architecture planning, infrastructure setup, and one complete workflow implementation before expanding into additional AI agents. I have experience with automation workflows, API integrations, web platforms, and building scalable solutions. I can help create a foundation that remains flexible as AI models and business requirements evolve. Best Regards

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@Ashoksahu001

Hello, Your project is exactly the kind of enterprise AI automation platform I enjoy architecting. Rather than building isolated automations, my approach is to create a modular, production-ready AI ecosystem that is scalable, resilient, and model-agnostic, allowing new AI agents to be added without redesigning the platform. My proposed architecture includes: • AI Gateway for intelligent model routing (Ollama for routine tasks, GPT-5.5 for complex reasoning, configurable for future models) • n8n as the orchestration layer • Browser Use + Playwright for reliable browser automation • Dockerized microservices with FastAPI/Python APIs • Redis queues, PostgreSQL/MySQL, centralized logging, monitoring, retry logic, and automatic recovery • Secure integrations with Google Workspace, Microsoft 365, Dropbox, IMAP/SMTP, and your existing Laravel ATS Phase 1 will cover: • Automated WorkMarket & Field Nation applications with AI-generated personalized responses • Intelligent email recruiting workflow including resume parsing, Dropbox organization, duplicate detection, Google Sheets automation, ATS integration, and applicant communication • Modular AI Gateway with configurable routing and centralized API management • Production-grade documentation, monitoring, CI/CD, and deployment

@autoverse

Hello, Your project is exactly the type of enterprise AI automation platform I specialize in. I build production-ready AI agent systems with n8n, GPT-5.5, Ollama, browser automation, and scalable workflow orchestration. I can design a modular AI Gateway that intelligently routes requests between local Ollama models for low-cost routine tasks and GPT-5.5 for advanced reasoning, keeping the architecture model-agnostic for future upgrades. For your recruiting workflow, I will automate email monitoring (PrivateEmail & Microsoft 365), applicant data extraction, resume detection and renaming, Dropbox organization, Google Sheets synchronization with duplicate handling, ATS integration, and automated follow-up emails when resumes are missing. For technician applications, I'll build Browser Use + Playwright automations that log into WorkMarket and Field Nation, evaluate work orders against technician qualifications, certifications, distance, and project history, generate personalized application responses, submit applications, and update internal tracking automatically.

@Cruz1217

If the AI gateway can't dynamically switch models without downtime, the whole platform could stall. I'd start by building a thin routing layer that reads a JSON map and forwards each request to the chosen model via Docker network. From there I can wrap the n8n workflows, Playwright scripts and Google API calls into reusable micro-services that the router can invoke on demand. A common mistake is hard‑coding model endpoints, which forces a full redeploy whenever a new LLM is added. Instead I’ll keep the routing config in a versioned file that each service reads at startup, so swapping models is just a config change. You’ll see reliable 24/7 operation, automatic retries on failures, and clear logs that make troubleshooting a quick glance.

@Solutionzhere

As an AI expert with a specialization in automation, my team at Solutionzhere is uniquely positioned to meet your project's requirements. Our wide-ranging experience in building and deploying enterprise-grade AI platforms will be a valuable asset for the development of your field service and recruiting system. We are well-versed in using cutting-edge tools like n8n, Playwright, Ollama, GPT-5.5, Docker, and more—all necessary for implementing the robust modular design that your project necessitates. Let's talk more over chat.

@abishek129

Hi, strong architectural match across my AI agent, automation, and backend experience. Recommended architecture: AI Gateway (FastAPI) on GoDaddy VPS routes by task complexity — routine tasks → local Ollama, complex reasoning → GPT API. Model-agnostic adapter pattern means swapping models requires zero downstream changes. Phase 1 approach: Email recruiting: IMAP monitoring (PrivateEmail + M365), LLM entity extraction (name, certs, skills), resume detection + Dropbox upload + rename, Google Sheets population with duplicate detection — n8n orchestration with retry logic. Work order automation: Playwright agents logging into WorkMarket and Field Nation, evaluating technician-job fit via LLM, generating personalized applications, submitting and logging confirmations. ATS integration: webhook trigger to your existing screener on completed applicant. Reliability: centralized logging, auto-retry, error notifications, 24/7 via Docker with health checks. Relevant experience: production Playwright automation, LangChain/LangGraph agents, Google Workspace API integrations, IMAP/SMTP pipelines, Docker deployment, Ollama integration. Timeline: 8-10 weeks phased. Priority — email recruiting workflow or work order automation first?

@Areeba514

As an experienced Full Stack Developer and automation specialist, I believe I am the perfect fit for this project. My exposure to technologies such as n8n, Browser Use, Playwright, Ollama, GPT-5.5 API, Docker, and more aligns perfectly with your project requirements. Over the years, I have developed a strong grip on Python, Node.js, REST APIs, Laravel PHP framework, along with AWS and various databases including MySQL and PostgreSQL. Additionally, my proficiency with OCR, PDF Parsing, and API integration of Google Workspace and Dropbox showcases my versatility. Moreover, my meticulous approach to development means that you can rely on me for clean code, scalable architecture, and fast website performance - all qualities essential for a robust AI system. Having worked on similar projects in the past where minutiae-based tasks required extreme precision like resume parsing and email categorization, technical expertise is just one part of the equation; the other being an in-depth understanding of the clients' specific needs.

@toqeer74

Hi, I can help design and deploy your modular AI automation platform. I've built similar AI agent systems that automate workflows in recruiting and field services, using n8n and Playwright for browser automation. My recent project involved creating an AI-driven application system that efficiently handled resume processing and candidate communications, while integrating smoothly with Google Workspace and Dropbox. For this project, I suggest architecting a central AI Gateway to intelligently route tasks based on complexity, optimizing costs while ensuring scalability. A detailed plan will include minimizing ongoing operational costs with modular components. Can we discuss specific features you want prioritized? I propose $13,500 in 45 days.