Build Scalable n8n AI Workflows

I need an experienced n8n architect to take a set of AI-driven features from concept to stable production. The core of the job is to design and implement robust workflows—written mainly in JavaScript/TypeScript inside n8n—that connect WhatsApp, a browser-based chat widget, and several REST endpoints to PostgreSQL-backed business logic.

The flows must:

• Guide customers through chat conversations, capture their inputs, and trigger language-model calls for content creation and decision-making.
• Assemble dynamic quotations, turn them into polished PDFs, and store or email them.
• Generate and optionally review images, then route them for approval before release.

Alongside the feature work I expect secure credential handling, automatic retries, granular logging, and a Prometheus-friendly monitoring setup so we can track each execution and API call. All code should be version-controlled and documented well enough for another developer to extend.

Deliverables
– Modular n8n workflow files and custom JS/Node modules
– Schema migrations and sample data for PostgreSQL
– Deployment notes for our existing Docker/Kubernetes stack
– A short run-book describing health checks, alerting rules, and rollback steps

Acceptance criteria
1. End-to-end demo showing a user on WhatsApp or web chat receiving an AI-generated quote PDF.
2. Approval loop for generated images visible in the n8n UI and reflected in the database.
3. 95 %+ success rate under load test, with failed runs automatically retried and logged.

If you have proven production experience with n8n, OpenAI or similar LLM APIs, and rock-solid Node.js fundamentals, I’m ready to get started right away.