Backend Engineer – Integrations & Applied AI for Health

Relu; Wilsele; On-site; EUR 65,000 - 95,000; Full time

Job summary

Relu is seeking a Backend Engineer for the Automate Platform, focusing on integrations and applied AI to streamline dental workflows. You will own the inbox data pipeline, integrate scanner platforms and LMSs, and push data through automated case entry and OCR-based extraction across languages.

You will contribute to Rx intelligence, QC, and dentist communications, while leveraging LLM capabilities and model evals to improve accuracy and cost management.

Qualifications

• Owns problems end to end from "a lab says cases are missing" to root cause, fix and monitoring.
• 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.

Responsibilities

• Owns the inbox integrations and data ingestion pipelines from scanner to LMS.
• Develops integrations with scanner platforms (3Shape, Medit, iTero, Shining3D, AlliedStar, DS Core, Dexis and others) and folder sync.
• Implements automatic case entry and Rx digitization & OCR to structured data across languages.
• Builds Rx intelligence to predict CAD orders and learn from user corrections.
• Ensures Rx QC to flag missing or conflicting prescriptions and monitors data quality.
• Collaborates with the AI team on dentist messaging and per-case threads across channels.

Job description

Relu is seeking a Backend Engineer for the Automate Platform, focusing on integrations and applied AI to streamline dental workflows. You will own the inbox data pipeline, integrate scanner platforms and LMSs, and push data through automated case entry and OCR-based extraction across languages.

You will contribute to Rx intelligence, QC, and dentist communications, while leveraging LLM capabilities and model evals to improve accuracy and cost management.