We're looking for a Backend Engineer, Integrations & Applied AI to join our Automate Platform team. You'd own the inbox pipeline from the moment a case arrives: get data in from every scanner and folder, understand the case, act on it, and keep the dentist in the loop. What you would work on:
- Integrations in: scanner platforms (3Shape, Medit, iTero, Shining3D, AlliedStar, DS Core, Dexis and new ones), folder sync, email, WeTransfer.
- Integrations out: LMSs (Labtrac, DentiSky and others) for pulling order data and pushing status, CAM and printers (Shapeware, Formlabs, SprintRay, Carbon), folder sync out, exports to 3Shape and Exocad.
- Automatic case entry: enter scanner data into the LMS. For LMSs without an API, a browser or computer-use automation.
- Rx digitizer: read prescription PDFs and scanned forms into structured data (teeth, shades, materials, due dates), across languages and lab abbreviations.
- Rx intelligence: from the Rx, notes, doctor and the lab's history, predict which CAD orders to create, and learn from what users accept or correct.
- Rx QC: flag missing, inconsistent or contradictory prescriptions.
- Scan Check in the inbox (backend): pick checks by order type, set blocker versus warning. The AI team builds the checks.
- Dentist messaging: per-case threads through scanner platforms, email and WhatsApp.
- Ask Relu: tools that act in the app, the knowledge base, model choice and cost, answer-quality evals.
First 6 months
- Month 1: take over inbox poll health and two or three vendor integrations. Fix the known evidence leaks in the sync templates.
- Months 2 to 3: build the Rx extraction eval set from real cases. Ship the digitizer and normalization v2 behind a confidence threshold.
- Months 3 to 5: first LMS integration (pull data, push status), then automatic case entry for one LMS.
- Months 5 to 6: Rx intelligence v1, predicting CAD orders per lab and learning from corrections.
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