🇮🇹 Milan, Italy · 1d ago
Senior/Staff AI Engineer - Remote Care (x/f/m)
Doctolib
LinkedInseniorEnglish-friendly
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 doYour responsibilities include but are not limited to:Design, ship, and operate production-grade agentic systems powering Remote Care stream products, with strong observability, fallback mechanisms, and fail-safe behaviorsBuild and improve AI agents, orchestration systems, and core agentic capabilities including memory, reasoning, tool adapters, and multi-agent coordinationPartner 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 researchOwn performance, observability, and security: monitoring dashboards, SLO/SLI definition, and security posture, with a particular focus on medical data sensitivityContribute to full-stack development when needed to deliver end-to-end features for healthcare professionalsMentor and enable software engineers to build confidently in an agentic AI worldWho you areBefore you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.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 iterationsHave 2+ years of experience working with Python and are comfortable with AI/ML engineering practices including automated testing, CI/CD, and DevOps ("you build it — you run it")Are comfortable with full-stack development and not afraid to dive into React/TypeScript or Kotlin to ship end-to-end featuresAre product-oriented and comfortable guiding your teammates to suggest trade-offs that balance business needs with technical constraintsAre fluent in English in your day-to-day work with the teamIt would be fantastic if you:Have experience building multi-agent systems or working with agent development frameworksHave worked on AI products for enterprise or professional usersHave experience in the medical domain, healthcare tech, or regulated AI-based SaMD (Software as Medical Device)Life at Doctolib TechOur solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements.Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here.Want to learn more about our tech culture and environment? Visit the Doctolib Tech site.What we offerSupplementary health insurance, with the option to include family members in your householdPartnership for retirement funds with Ciao ElsaA flexible workplace policy offering both hybrid and office-based modeElectronic meal vouchers (8.00€ per worked day), Foorban fridges, and office breakfastWork from abroad for up to 10 days per year thanks to our flexibility days policyParent Care Program: Various initiatives supporting parenthood, including 100% paid parental leaveEnrollment in Doctolib's long-term employee value sharing plan called DoctoGrowthFree mental health and coaching services through our partner Moka.careFor caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological supportA partnership with Wellhub, as well as free access to the gym in our Milan office, with 3 classes offered per week (yoga, pilates, functional training)Reimbursement of public transportationRelocation support in case of international mobilityAccess to the best AI tools for coding, development and dedicated trainingOur interview processRecruiter InterviewPython Coding InterviewSystem Design Interview (with focus on Agentic AI architecture)Behavioral InterviewAt least one reference checkWe want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page.Job detailsPermanent positionPython, Java, TypeScriptFull-timeLocation: Milan, ItalyHybrid work setup (up to 2 remote days per week)Salary range: Senior: €57-75k / yearStaff: €70-100k / yearStart date: as soon as possibleWe welcome everyoneAt Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability.To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.Join us in building the healthcare we all dream of!Your data privacyAll information provided is processed by Doctolib for application management. For data processing details, click here: Italy. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.Sourced from LinkedIn. Relocantly aggregates public job postings; apply on the original site.