Backend Engineer (Integrations & Applied AI; Mid-level)

Are you passionate about technology with a purpose? Want to make a meaningful impact on people's health? Want to work in an AI-native company? At Relu, we're growing - and we're looking for someone like you. 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. Must-haves - Product ownership and vision: takes a raw user problem ("a lab says cases are missing", "order entry takes too long"), finds the real need, and scopes what is essential versus nice to have before building. - 3+ years of backend engineering, strong Python. - Has built many third-party integrations and handled OAuth and token refresh, rate limits, idempotency, retries, webhooks versus polling, and schema drift. - Has shipped LLM features to production with evals: datasets, metrics, regression checks when prompts or models change, cost tracking. - Owns problems end to end, from "a lab says cases are missing" to root cause, fix and monitoring. - Pragmatic: picks a rules catalog with an LLM fallback over an elaborate ML system when that works. Nice-to-haves - Healthcare, dental or regulated-data experience (HIPAA, GDPR). - Document extraction or OCR, or browser and computer-use automation. - Workflow engines (ActivePieces, Temporal, n8n) or ETL pipelines. - Dutch or French. - A mission that matters: we're improving dental care and making higher-quality dentistry accessible to everyone, globally - A fast-growing company where your growth goes hand-in-hand with ours — real impact, real ownership, early responsibility and skills in the technologies of the future - The chance to work with the latest AI technologies and industry leaders in dentistry - Fun team culture: after-works, bi-weekly sports, hackathons, retreats