Full-Stack Developer Needed for Multi-Tenant SaaS Platform

We are seeking an experienced Full-Stack Developer to create a comprehensive multi-tenant SaaS platform designed to serve as a complete 'Business Operating System' for local businesses. The ideal candidate will possess both front-end and back-end development skills, ensuring a seamless user experience while implementing robust functionalities. Our platform will unify Advanced Lead Discovery, Autonomous AI Agents, Omnichannel Outreach, and Predictive CRM into a single, seamless dashboard. that automates the entire client acquisition lifecycle for local business. Key Modules & Competitive Advantages The application is divided into several high-performance engines. 1. Lead Intelligence Engine (Beyond Basic Search) Multi-Source Discovery: Real-time extraction from Google Maps, Bing Places, and LinkedIn. Tech Stack Detection: Automatically detect what technologies a lead is using (e.g., WordPress, Shopify, Klaviyo) to enable hyper-personalized pitches. Enrichment Layer: Auto-enrich leads with verified direct email addresses, mobile numbers, and decision-maker names (integrating with Hunter.io or Apollo APIs). Sentiment & Gap Analysis: Analyze prospect reviews to find "pain points" automatically. 2. "Marvis" Autonomous AI Suite (Next-Gen GPT-4o/5o) Autonomous Agents: Not just content generation, but action. Agents that can auto-schedule posts, auto-reply to Google Reviews, and draft responses to incoming leads. Brand Voice Learning: The AI must analyze a user's previous content to learn and mimic their specific writing style and tone. Full-Spectrum Content: Generators for Blogs, Social Media, Legal Docs, and Ads, with a built-in "Viral Hook" optimizer. 3. Omnichannel CRM & Unified Inbox (The "Killer Feature") Unified Inbox: A single stream combining Emails, SMS, Google Chat, and Facebook Messenger replies. Omnichannel Sequences: Automated drip campaigns that mix Email, SMS, and Manual Tasks (e.g., "Day 1: Email", "Day 2: SMS", "Day 3: Connect on LinkedIn"). AI Lead Scoring: A predictive model that scores leads 0-100 based on their digital footprint and interaction level, telling the user who to call first. 4. Enterprise-Grade Reporting Dynamic Client Portals: Instead of just sending PDFs. Technical Requirements Architecture: Robust Multi-Tenant isolation (Database-per-tenant or discriminated rows). Frontend: React.js, Next.js, or Vue.js (Must be extremely fast and SEO friendly). Backend: Node.js, Python, or Go (Golang) for high-concurrency tasks. Integrations: Must be built "API-First" to integrate with N8N Database: PostgreSQL + Redis (for caching/queues). Scalability: Experience designing for horizontal scale (Kubernetes/Docker) is a plus.