Autonomous AI Agents Developer for Freight Brokerage

ABOUT US We are SIOX Logistics, a rapidly expanding U.S.-based freight brokerage specializing in Dry Van, Reefer, and Flatbed operations. We serve shippers across multiple industries and are scaling aggressively. We are looking to hire a top-tier AI Automation Engineer / Data Engineer to build a fully autonomous AI-driven client acquisition system that brings us shippers every single week with minimal human involvement. This project is mission-critical and we will hire whoever can deliver speed, accuracy, and a clean end-to-end system. 🔥 PROJECT SCOPE — WHAT YOU WILL BUILD We need 6 interconnected AI Agents that work together as one system: 1️⃣ Lead Sourcing Agent (Scraper + Extractor) Scrape shippers from: ThomasNet, Kompass, Apollo, Google Maps, Industrial categories, LinkedIn job postings Extract: Company name, contact, direct email, phone, SIC/NAICS Deliver 2,000–10,000+ leads per month 2️⃣ Verification & Enrichment Agent Email validation Industry tagging (Food, Packaging, Retail, Metals, Plastics, etc.) Checks recent logistics hiring patterns Filters out low-value companies Normalizes all data into a clean table 3️⃣ Intelligence Agent (Research & LLM Reasoning) Automatically infers for each company: Commodity type Freight shipping frequency Typical lanes Pain points Whether they use brokers Personalization details for outreach 4️⃣ Outbound AI Agent (Email + WhatsApp + SMS) Sends personalized email sequences (Instantly/Lemlist) Uses AI to write custom pitches based on industry Integrates with WhatsApp API (WATI/Zoko/Gupshup) Optional SMS via Twilio A/B tests subject lines, hooks, CTAs Runs 100% autonomously 5️⃣ Calendar + Reply Handler Agent Must be able to: Interpret inbound replies Respond naturally like a professional account manager Ask discovery questions (commodity, weight, frequency, dock hours, etc.) Send COI / rate sheet / process documents Automatically book meetings via Calendly or Cal.com This agent must behave like a real human SDR. 6️⃣ KPI & Reporting Agent (Dashboard) Build a clean dashboard showing: Leads sourced Emails sent Open/reply rate Interested shippers Meetings booked Conversion by industry Performance insights Looker Studio or Google Sheets is fine. 🧩 REQUIRED EXPERIENCE Must have strong skills in: AI + Automation CrewAI AutoGen LangChain Multi-agent orchestration GPT-based reasoning chains Scraping & Data Engineering Python scraping (Playwright, BeautifulSoup, Scrapy) API integrations (Apollo, Clearbit, LinkedIn) Data cleaning / enrichment Validation logic Outbound Automation Instantly.ai / Lemlist WhatsApp APIs Twilio SMTP deliverability Integrations Zapier / Make / N8N Google Sheets Calendly / Cal.com Notion (optional) Bonus (Not Required but Preferred) Familiarity with the freight brokerage or trucking industry Understanding lanes, commodities, FTL, LTL, capacity, etc. 📦 DELIVERABLES We expect: ✔ Fully working end-to-end system ✔ Clear documentation + workflow diagrams ✔ Deployment on our environment ✔ 1–2 week debugging/testing period ✔ Training session with our team ✔ Scalable workflow capable of 10k+ leads per month ✔ Minimal human involvement once deployed 💰 BUDGET We are open to proposals in these ranges depending on skill level We are hiring based on experience, proof of work, and speed. 📝 WHEN YOU APPLY, PLEASE INCLUDE: AI automations or multi-agent systems you’ve built Your proposed tech stack Timeline Price A short explanation of how you’d build the 6 agents One question that proves you understand freight brokerage operations Strong applicants will be shortlisted for a small paid test. 🚀 READY TO START We move fast. Hiring immediately. If you want, I can also create: ✅ Candidate screening questions ✅ Scorecard ✅ Interview script ✅ Technical test task