Senior Full-Stack Automation Engineer – AI-Driven CRM AutoPilot System

Overview Phase 1 focuses on building a standalone, testable Lead Discovery and Validation module for the CRM AutoPilot project. The primary goal of this phase is to validate lead quality, relevance, and volume before expanding into a full automation ecosystem. This module is intentionally designed to operate independently while remaining fully compatible with future CRM, outreach, and AI automation components. Objectives of Phase 1 Validate the quality, accuracy, and relevance of discovered leads Measure daily lead volume potential across industries and locations Test data enrichment, normalization, and deduplication logic Ensure scalable architecture suitable for future automation modules Scope of Work 1. Lead Discovery & Collection Industry-based and location-based lead discovery Lead data will be collected only from publicly available business sources and in accordance with applicable platform terms and data usage policies Potential sources include: Public Google Business Listings / Maps data (via approved APIs or datasets) Industry-specific public business directories Publicly accessible business websites No private, restricted, or protected data sources will be accessed. 2. Data Enrichment Each lead record will include, where publicly available: Business / Company Name Website URL Business Email Address Business Phone Number Physical Business Address Industry / Category Source Reference All contact information will be limited to business-related, publicly listed data. 3. Data Quality & Validation Controls Automatic deduplication across multiple sources Freshness checks to reduce outdated or inactive leads Structured, normalized data format for consistency and reliability 4. Data Delivery & Output Export-ready formats (CSV and database-ready structures) Clean schema optimized for CRM ingestion Architecture designed to integrate seamlessly with future modules such as: Outreach automation CRM workflows AI-assisted lead intelligence 5. AI-Assisted Email Drafting & Controlled Outreach AI-assisted email draft creation based on lead industry and context Configurable and reusable email templates Automated email sending only to business contacts where outreach is permitted Built-in sending controls, including: Rate limits Time delays Basic compliance-friendly sending rules Email status tracking (sent / failed) The system will be designed to support responsible outreach practices, including opt-out handling and sending limitations where applicable. Technology Stack (Phase 1) Backend: Laravel 11 Scraping Infrastructure: Apify Actors & Datasets APIs: Google Places API (if required and approved) Automation: Laravel Scheduler & Queue Workers Outcome of Phase 1 At the end of Phase 1, we will have: A validated, production-ready lead discovery module Measurable insights into lead quality and volume A scalable foundation ready for CRM automation, outreach workflows, and AI-driven enhancements Apply tot his job