AI Engineer to build a full AI Automation SaaS. AI flow with n8n and Zapier

We are looking for an experienced AI Engineer / Full-Stack Developer to help plan and build an AI-powered SaaS platform using Node.js, React, and AI Automation tools like n8n and Zapier. The project is currently at an early stage, so we need someone who can provide technical consultation, evaluate requirements, propose the right architecture, and break the project into clear, actionable development tasks before implementation begins. Project Scope Technical Consultation: Discuss the product idea, business requirements, technical feasibility, and possible implementation approaches. Solution Architecture: Design a scalable SaaS architecture using Node.js, React, APIs, databases, and cloud infrastructure. AI Integration: Recommend and plan integrations with LLMs, AI Agents, OpenAI, Claude, and other AI services where relevant. Workflow Automation: Design automated business processes using n8n, Zapier, webhooks, and third-party API integrations. Project Planning: Break down the development process into actionable tasks, milestones, priorities, and estimated effort. MVP Development: Define the essential features for the first release and prepare a practical implementation roadmap. Required Skills Strong experience with Node.js, TypeScript, React, and Next.js AI Engineering, LLM Integration, and AI Agents AI Automation, n8n, Zapier, and Workflow Automation REST APIs, Webhooks, and Third-Party API Integration SaaS Architecture, PostgreSQL, and Cloud Infrastructure Experience designing and launching production-ready MVPs Ability to translate business ideas into technical solutions Initial Deliverables The first engagement will focus on consultation and technical planning, rather than immediately starting full development. We expect: Initial technical consultation and requirements review High-level system architecture and technology stack recommendations AI integrations and automation workflow design Development backlog with prioritized, actionable tasks MVP roadmap, effort estimates, and implementation phases Ideal Candidate We prefer a senior engineer or AI Solutions Architect who combines hands-on development experience with strong architectural thinking. You should be comfortable working with an early-stage product, identifying technical risks, recommending cost-effective solutions, and potentially continuing into full implementation after the initial planning phase. Please share examples of AI SaaS platforms, AI integrations, or n8n/Zapier automation projects you've worked on, and briefly explain how you would approach the initial consultation and architecture planning.