AI Developer | Customer Support Chatbot Backend Build

I’m putting together a customer-support chatbot that relies on OpenAI’s language models and I need a back-end specialist to wire everything up. The core stack is Python with FastAPI for the service layer, MongoDB for persistence, and [login to view URL] on the front end, so your work will revolve around building a clean, well-documented set of REST endpoints (or GraphQL if you feel that’s cleaner) that expose the bot’s conversational abilities. Here’s what I expect: • A FastAPI application that receives chat messages, forwards them to the chosen OpenAI model, and streams or returns the generated reply. • Conversation context stored efficiently in MongoDB so the agent can pick up where a user left off. • Basic customer-support flows: handing common questions, escalating unknown issues, and signalling when a human hand-off is needed. • JWT-based auth so each user’s history stays private. • A small [login to view URL] demo page showing the agent in action; plain styling is fine—functionality is what matters. • Clear setup instructions plus a Dockerfile so I can spin the project up with a single command. Acceptance criteria 1. I can run docker-compose up, visit the [login to view URL] page, and carry out a complete chat session. 2. All messages are saved and retrievable from MongoDB. 3. Latency from request to first token must stay under three seconds on my test machine. 4. Code passes black / isort formatting checks and includes minimal unit coverage for the API layer. If you’ve built something similar—or have strong FastAPI, OpenAI, and MongoDB chops—let’s talk.

ID do Projeto: 40151355