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Senior/Staff AI Engineer – Remote Care

Pubblicato il 10-09-2026 - Doctolib in Milano

Set a new pulse for healthcare
We are looking for a Senior or Staff AI Engineer to join the Remote Care stream at Doctolib. Your mission will be to build AI-powered tools that transform how healthcare professionals deliver care beyond in-person encounters — from intelligent patient messaging to telehealth experiences. You will work in a feature team developing agentic systems across the Patient Messaging platform and Telehealth software, contributing directly to reducing care team workload and improving patient access to continuous care. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.
What you’ll do Design, ship, and operate production-grade agentic systems powering Remote Care stream products, with strong observability, fallback mechanisms, and fail-safe behaviours
Build and improve AI agents, orchestration systems, and core agentic capabilities including memory, reasoning, tool adapters, and multi-agent coordination




Partner with Machine Learning Engineers to design and implement evaluation pipelines, security/safety guardrails, and metrics — taking ownership of operational AI projects as data science teams focus on exploratory research
Own performance, observability, and security: monitoring dashboards, SLO/SLI definition, and security posture, with a particular focus on medical data sensitivity
Contribute to full-stack development when needed to deliver end-to-end features for healthcare professionals
Mentor and enable software engineers to build confidently in an agentic AI world
Who you are You’ll be a great fit if you:
Have 4+ years of experience as a software engineer, with hands‑on experience in AI/ML systems, including going through the full lifecycle of an AI product from evaluation and launch to production iterations
Have 2+ years of experience working with Python and are comfortable with AI/ML engineering practices including automated testing, CI/CD, and DevOps ("

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