Agentic Digital Marketing Automation

Project Overview We are seeking an AI-native engineer or specialized agency to design, build, and maintain an end-to-end, programmatic marketing engine that automates our full-funnel growth operations. This is a backend AI engineering project. We are replacing manual work with event-driven architectures, custom Model Context Protocol (MCP) servers, and multi-agent systems across our entire marketing stack. Full-Spectrum Automation Scope • Paid Acquisition & Search (SEM / PPC, SEO, Digital Marketing): Programmatic budget re-allocation, dynamic ad variant testing, and automated SEO optimization via the Meta Graph API, Google Ads API, and programmatic content workflows. • Outbound & Revenue Ops (Lead Generation, Telemarketing & Cold Calling, Sales & Business Development): Automated lead scraping/enrichment, conversational AI voice/SMS agents for cold outreach, vector lead scoring, and automated CRM deal routing. • Content, Email & Social Ecosystem (Content Marketing, Email Marketing, Social Media Marketing, Influencer Marketing): Multi-modal content generation pipelines, dynamic lifecycle email sequences, cross-platform social scheduling, and automated influencer discovery and outreach. • Strategy, PR & Intelligence (Marketing Strategy, Market Research, Public Relations): Automated competitor scraping, market trend synthesis, AI-generated PR releases, and data-driven strategy adjustment triggers. • Core Systems (Marketing Automation): Event-driven webhook buses, custom MCP tool integrations, multi-agent runtimes, and real-time performance dashboards. Technical Stack & Requirements • Orchestration: n8n, LangGraph, CrewAI, or custom Python/TypeScript runtimes. • Protocols & Architecture: Native Model Context Protocol (MCP), RESTful APIs, and asynchronous webhooks. • Governance: Human-in-the-Loop (HITL) approval gates (e.g., ad budget caps, content approval queues) and token/API cost tracking. Engagement Structure • Phase 1 (Fixed-Scope Build): Deploy the core orchestration engine and initial automated pipelines (Ads API + Lead Gen + Content Engine). • Phase 2 (Ongoing Retainer): Scale infrastructure across all 14 verticals, maintain custom MCP servers, and oversee system health. To Apply: Submit 1–2 production examples, GitHub repositories, or architecture diagrams of multi-agent systems or MCP tools you have built.