🚀 Hiring: Freelance AI Automation Engineer (Remote)

Jobs
1

I’m looking for an elite AI Automation Engineer / AI Systems Builder to join the team at TargetPatientsMD.com.

We are looking for an expert to help design, implement, and manage AI-powered workflows to scale our online lead generation. If you know how to build and optimize systems that turn traffic and scraped data into qualified leads, we want to talk to you.

🛑 The Non-Negotiables:

- Claude Expertise: Minimum 2 years of hands-on experience working specifically with Claude (Anthropic) APIs and prompt engineering.

- Lead Gen Mastery: Proven track record of building and running AI systems specifically for online lead generation and outbound outreach.

- Perfect Communication: Fluent/excellent spoken and written English.

- Time Zone: Must be available to work and communicate during USA EST (New York) business hours.

🛠️ Projects You Will Work On:

- Scale our existing outbound engine: Take over our custom-built system that scrapes Google Maps data, generates lead spreadsheets for our cold callers, and sends automated emails via Instantly. Our IPs are already warmed up—we just need you to run it at full speed, troubleshoot issues, and improve the workflow.

- Build AI lead qualification chatbots for our websites and landing pages.

- Design AI-powered outbound and inbound email marketing automations.

- Create AI-generated SEO and content systems to drive traffic.

- Develop automated CRM routing and intelligent follow-up sequences.

⚙️ Required Tech Stack & Experience:

- Claude (Anthropic) APIs

(Core requirement) and

N8N workflows expertise

- Instantly & Web Scraping Tools (Managing cold email infrastructure and Google Maps scraping)

- OpenAI / ChatGPT APIs

- Zapier / Make / n8n

- CRM integrations (GoHighLevel)

- Advanced prompt engineering & workflow architecture

🌟 Bonus if you have experience building:

- Autonomous AI outbound lead agents

- RAG (Retrieval-Augmented Generation) / custom knowledge bases

- Systems specifically tailored for medical/patient lead generation

💼 Role Details:

- 100% Remote position

- Project-based freelance role with strong potential for a long-term retainer

- Open to international candidates (as long as you work EST hours and have perfect English)

📩 How to Apply:

If you are practical, fast-moving, and strong at implementation, please send me an email at kat@targetpatientsmd.com

1. A brief overview of your experience with Claude, Lead Generation, and Instantly.

2. Specific examples or case studies of AI automations or scraping systems you’ve built/managed.

3. Your complete tech stack.

4. Your hourly rate or preferred project-based working arrangement.

(To ensure you read this entire post, please start your message with the word “Scale”)

Generic applications will not be considered. Incomplete applications or emails that do not include the required items listed above will also not be reviewed.

3 Likes
2

Scale — Hi! I’m Misha, an automation and LLM integration expert. I build AI-powered lead generation systems that combine scraping, enrichment, LLM qualification, outreach automation, and CRM workflows to turn raw data into qualified opportunities. I can help scale your existing outbound engine by optimizing your Google Maps scraping pipeline, improving AI lead analysis with Claude and OpenAI, managing Instantly email workflows, building intelligent qualification chatbots, and creating automated follow-up systems connected to GoHighLevel. My experience includes designing n8n/Make.com automations with APIs, webhooks, AI agents, RAG knowledge systems, structured prompt workflows, and CRM integrations. For lead generation workflows, I focus on the full pipeline: data collection → enrichment → AI scoring → personalized outreach → response classification → CRM routing → automated follow-up. I understand that the goal is not just generating more leads, but building a reliable acquisition machine that improves conversion rates while reducing manual work. My core stack: Claude API, OpenAI API, n8n, Make.com, Zapier, Airtable, Google APIs, scraping tools, Instantly, GoHighLevel, webhooks, REST APIs, and custom AI workflows. I’m available for EST collaboration hours and open to a long-term project-based partnership. Rate: $35/hour or fixed-price projects depending on scope.

Connect on WhatsApp: +375293761570 | View My Portfolio: https://mikedevai.netlify.app/

3

Hi Kat,

I’m Isaac Babatunde, an AI Automation Engineer based in Lagos, Nigeria.

1. Claude, Lead Gen & n8n experience:
I’ve built production systems using Claude API directly — including an AI chatbot for a gym management SaaS (sarex-gym.vercel.app) handling member queries in real time. My n8n experience covers 5+ production workflows including API integrations, conditional logic, scheduled triggers, and Telegram notifications. I haven’t used Instantly specifically but I’m experienced with email automation flows and can get up to speed on it fast.

2. Specific examples:
- SareX Gym — Claude API chatbot + 5 n8n automation lanes (sarex-gym.vercel.app)
- Mama Tee’s Kitchen — OpenAI + n8n + Airtable restaurant system (mama-tee.netlify.app)
- Opportunity Intelligence Platform multi-agent AI system scraping and scoring leads via OpenAI (opportunity-intelligence-alpha.vercel.app)

3. Tech stack:
Claude API · OpenAI GPT-4o · n8n · Airtable · Supabase · Flutter · React · Telegram bots · Paystack · Webhook integrations

4. Rate:
$20/hour or flat fee per project — open to long-term retainer

I’m practical, fast-moving, and deliver production-ready systems. Happy to jump on a call during EST hours.

Isaac Babatunde

babatundeisaac.dev@gmail.com

4

Hey :waving_hand:,

I’m Milan, with 8 years of experience in Business Automation and AI. Including 2 years at Apify working on enterprise-level browser automation.

Currently specializing in n8n, but also proficient in Python & Javascript.

Find out more about my work here:

If you think I might be a match, please:

Book a call here with me

Or reach out at hello@smoothwork.ai

Looking forward to hearing from you!

5

Hi Kat,
This lines up almost exactly with what I already run. I build and operate AI powered lead gen systems on the same stack you listed, Claude on the Anthropic API, n8n, Instantly for cold email infrastructure, web scraping, and GoHighLevel, so taking over and scaling your outbound engine is squarely in my lane.

  1. Claude, lead gen, Instantly: I run a cold email lead gen system end to end, scraping prospects, enriching and qualifying them, generating personalized copy with the Anthropic API, and sending through Instantly on warmed infrastructure. I treat deliverability and IP health as the priority, not an afterthought.
  2. Examples: I built the full lead gen and follow up backend for a marketing agency. Scraping into clean lead spreadsheets, Claude driven qualification and personalization, Instantly sends with A/B testing across 8 versions, and CRM routing into GoHighLevel with automated follow up. It runs 2,000+ messages a month with error handling and alerts so nothing silently breaks, and I scaled daily send volume 5x.
  3. Tech stack: Claude and OpenAI APIs, n8n, Instantly, Apify and similar scraping tools, GoHighLevel, Twilio, webhooks and REST APIs, plus prompt engineering and workflow architecture.
  4. Arrangement: I work US Eastern hours and communicate in fluent English. My rate is 50 an hour, and I am happy to start with a scoped first project, for example taking over and optimizing your existing outbound engine, then move to a retainer once it runs clean.

Happy to jump on a quick call whenever works. What is the most urgent piece of the engine right now?

Luke

6

Hi Kat,

This is squarely my lane: I build governed lead-gen and outbound systems on Claude (Anthropic API) + n8n, with deliverability treated as the priority, not an afterthought.

What I’d bring:

  • End-to-end outbound in n8n: scrape/enrich → Claude-driven qualification and personalization → send on warmed infrastructure → CRM routing and automated follow-up. I run cold-email infra with warmed domains, SPF/DKIM/DMARC clean, multi-step sequences with A/B copy, and bounce auto-pause to protect IP health.
  • Production reliability: error handling, idempotency, and alerts so nothing silently breaks. A dead outbound engine that still looks fine is the real failure mode, so I build dedicated error-handler workflows plus a reconciler that flags a silent feed before you notice.
  • Governed by design: qualification and personalization grounded in real data, with a human-approval gate on anything sensitive, so it scales without going off the rails.

Honest fit note: my cold-email platform experience is Smartlead rather than Instantly, but the deliverability and sequence logic transfer directly and I’m comfortable wiring Instantly via its API and webhooks. Core stack: Claude and OpenAI APIs, n8n self-hosted, scraping/enrichment, webhooks and REST.

Proof you can see: a live governed AI agent I run at AI Customer Support Agent for Shopify · noorflows , and my app is live and vetted on the Shopify App Store.

I’d start with a scoped first project, for example taking over and hardening your existing outbound engine, then move to a retainer once it runs clean. What’s the most urgent piece right now, and what daily send volume are you targeting?

Syed

7

I design and build production n8n workflows combining APIs, LLM capabilities, and data stores — exactly what this role requires.

Delivered work:

  1. AI Business Assistant — n8n agent with 6 custom tools reading/writing Google Sheets for leads, finance and targets via natural conversation. Memory buffer, conditional logic, multilingual.
  2. Daily Automated Business Summary — multi-source Google Sheets → Groq LLM analysis → Gmail delivery, runs on schedule daily. Full error handling and edge case management.
  3. RAG Chatbot — Python + LangChain + ChromaDB, live at nexora-rag-chatbot.streamlit.app
  4. AI Customer Support Agent — stateful LangGraph agent with memory, deployed live.

GitHub: chitranshi0613

Strong with n8n, webhooks, REST APIs, conditional logic, LLM integrations, RAG patterns, Docker, LangChain. Available immediately for remote work.

Chitranshi Srivastava
chitranshi0613@gmail.com

8

Hi Kat,

I’m Swapnil, an AI Automation Engineer and founder of Swapnil AI Labs. I specialize in architecting complex, production-grade automation workflows specifically using n8n and Dify.

Taking over and scaling an outbound engine is right in my wheelhouse. Here is why I would be a strong fit for this:

  • n8n Mastery: I build and maintain advanced, node-based workflows for business scaling, moving beyond basic triggers to complex logic, error handling, and robust data management.

  • Production-Ready Systems: My approach focuses on reliability—building in idempotency, automated alerts, and reconciliation processes so your engine runs cleanly without manual oversight.

  • AI Integration: I have deep experience integrating LLMs (including Claude and OpenAI) into business logic to drive personalized lead qualification, enrichment, and automated CRM routing.

  • Proven Experience: From automating financial workflows to building stateful AI agents, I focus on building systems that are not just functional, but optimized for growth and high-volume operations.

I am available to start immediately with a scoped first project to harden and optimize your existing outbound engine. What is the most urgent pain point you are facing with the current setup right now?

Best,

Swapnil

9

A useful way to de-risk this is to buy one narrow workflow sprint before committing to a long-term automation role.

For lead gen, I’d scope the first 72 hours around one pipeline with:

  • source + input definition
    • scrape/enrich step
      • Claude/OpenAI qualification rubric
        • human approval checkpoint before outreach
          • CRM/Airtable handoff
            • run log + failure notes as the receipt
          • The questions I’d want answered before quoting: what is the lead source, what makes a lead qualified, which system is the source of truth, and what proof would make you comfortable expanding the engagement?
        • I’m validating a 72-hour agent job sprint around exactly this shape: one bounded workflow, visible receipt, and clear out-of-bounds list. If that’s useful, I’d be glad to compare scope against your first workflow.
10

I’d scope this around one production workflow first, not the whole patient-acquisition system. For example: intake source → eligibility/routing rules → team handoff → audit trail. The main risk is not just model quality; it’s whether the workflow has deterministic controls when the AI output is wrong, incomplete, or unsafe to act on. I’d ask candidates to show a run receipt: inputs received, systems touched, failure states, rollback path, and final handoff.