Next.js Node Chatbot Lead Integration
Opportunity Summary
You will connect an existing AI-powered chatbot to a Node.js backend so that each conversation updates the lead management workflow. The frontend is already built, and the chatbot works, so the core work is wiring backend endpoints, persisting conversation data in PostgreSQL or Supabase, and capturing key user details like name, email, and phone. You will implement basic lead qualification logic, call REST APIs to create and update lead records, send email notifications for qualified leads, and ensure error handling and end-to-end testing.
Ideal Candidate
A senior full-stack engineer who has integrated AI systems into production backends and can connect event flows to databases and notifications. You write maintainable code and test thoroughly across the end-to-end journey.
Project Insights
- Use idempotency for lead updates when multiple conversation events arrive
- Define a conversation-to-lead data model early, including user identity fields
- Create test cases for qualified versus unqualified leads and invalid contact data
How to Prepare
- Describe how you will model conversation records and lead updates in PostgreSQL
- Explain your approach to idempotent REST calls and error handling
- Mention any relevant experience integrating AI APIs with Next.js and Node
Typical Challenges
- Designing reliable API contracts between chatbot events and lead storage
- Implementing lead qualification rules without breaking the workflow
- Handling API failures, retries, and edge cases in a multi-step process
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Project Details
Skills & Requirements
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