AI Engineer to Build and Train Autonomous Agent for Meta (Facebook/Instagram) Ad Management

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer to build and train an autonomous agent for Meta ad management. Contract length is flexible with an open pay rate. Key skills include Meta Ads API, LLM orchestration, Python/Node.js, and ad performance optimization.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
June 4, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Miami, FL
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🧠 - Skills detailed
#AWS (Amazon Web Services) #REST (Representational State Transfer) #Documentation #Python #Azure #AI (Artificial Intelligence) #Cloud #GCP (Google Cloud Platform) #API (Application Programming Interface) #Deployment #REST API #Langchain #Automation #A/B Testing #Monitoring
Role description
📝 Job Description: I'm building an autonomous AI agent—Manus AL—that will manage Meta (Facebook & Instagram) ad campaigns completely hands-free, 24/7. I need an experienced AI + software engineer with deep knowledge of: • Meta Business Manager API / Ads API • LLM orchestration frameworks (LangChain, AutoGen, or CrewAI) • Ad performance optimization logic (CPA, ROAS, CTR, creative fatigue, etc.) • Python or Node.js back-end development • API integrations and cloud deployment This is not a generic AI chatbot project. You’ll be training a custom AI agent to think and act like a world-class media buyer, with full control over audience targeting, creative rotation, budget allocation, and campaign-level optimizations based on real-time data. 🎯 What the Agent Must Do: • Connect to my Meta Ad Account via API • Receive orders like this and act accordingly: "You are managing my meta ad account. Your goals are to keep CPA below $5, increase CTR to 25x or better, and maintain ROAS above 20x. You can adjust audience, creative, and budget. If an ad performs below target for 48 hours, pause it and test a new variant until it performs at or above target. Prioritize audiences with past conversions and high engagement. Retire fatigued creatives before performance drops." • Automatically create lookalike audiences once conversion data is available • Ramp spend on high-performers, cut losers after 48 hours • Rotate and A/B test new creatives automatically • Maintain ideal CPA, CTR, and ROAS based on rules I provide • Be trainable via structured prompts and business logic • Be able to accept new commands and adjust campaigns accordingly in real time ✅ Ideal Candidate: • 3–5+ years experience with Meta Ads API or similar adtech APIs • Solid track record deploying AI agents or autonomous tools in ad or e-commerce environments • Familiar with OpenAI API, GPT-4, and agent-based frameworks • Comfortable with Python, REST APIs, and cloud hosting (AWS, GCP, or Azure) • Bonus: experience integrating analytics platforms or building lightweight dashboards ⚙️ Deliverables: 1. Working AI agent connected to Meta API 1. Configurable logic engine that responds to new ad performance rules 1. Lookalike audience automation based on performance 1. Auto-pause, auto-scale, and creative rotation ruleset 1. Documentation for training and deployment 1. Optional: simple monitoring dashboard (bonus) 💰 Budget: Open to fixed price or hourly for the right candidate. This is a serious project with real scaling plans, not a test run. Bonuses will be given for measurable performance improvement. 📩 How to Apply: Send examples of similar tools or agents you’ve built. Priority will be given to applicants with proven experience optimizing ads or building AI logic in real-world ad campaigns.