AI automation developer / AI chatbot needed for a support bot and AI workflow automation
Budget: $150.0
FIXED /
⭐ 5.00 (4)
UKR
javascript, artificial-intelligence, machine-learning, natural-language-processing, python, data-science, web-programming, chatbot-development, deep-learning, neural-networks, computer-vision, tensorflow, pytorch, data-analysis, wordpress, lead-generation, data-entry, shopify, landing-pages
Preferred qualifications
- Experience: Expert
Our product is a consumer shopping extension that works on the checkout page across a large catalogue of merchant storefronts. The user side is live and the base keeps growing, and support has turned into the bottleneck. Most of what lands in our inbox is the same short list of questions - why a code did not apply on a specific store, why cashback is still pending, what happened to a saved offer. Two contractors answer all of it by hand and the queue only gets longer.
We want an AI chatbot in the extension and on our site that closes those questions end to end, and the AI workflow automation behind it so that whatever the bot cannot close lands in the right place with the full context attached. We are looking for an AI automation developer team that has put this in front of real users on a live consumer product, not a demo bot sitting on top of a FAQ page.
For this round we want your view on:
- Conversation design for a support bot that has to answer about a specific store and a specific offer, not a general FAQ
- How the bot reads live state - offer status, cashback status, merchant coverage - without us rebuilding the backend around it
- Escalation - when a human takes over, what the handover carries, and how the user is not made to repeat themselves
- The automation layer around the bot - routing, tagging, follow-ups, and a weekly digest of what keeps coming back
- Where repeated complaints about one storefront should become a signal for the engineering side, not just another closed ticket
- Guardrails and evaluation - what the bot must never answer on its own, how containment is measured, how a bad prompt change is caught before it ships
- Cost and model choice at our volume, and how we stay free to swap the model later
Support volumes, current tooling, the backend and parser architecture behind the extension, and merchant integrations will be shared only with the team we sign the contract with, after NDA. We do not share product specifics before contract.
To apply, share 2-3 support bots or automations your team has shipped to real users, a short note on how you would phase this from a first bot version to the automation around it, and your fixed price for this round.
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