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

Your mission

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.

Your profile

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.

Why us?

• 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

About us

Relu is a Leuven-based AI start-up automating the 3D design of dental appliances - freeing up time, cutting costs, and improving global access to dental care.

We’re a team of 25 engineers, business and dental people who:

• Learn fast
• Own what we do
• Get stuff done

We are actively growing our team and our technology evokes more interest every day, expect your role to evolve over the years!