Principal AI Engineer (m/f/x) - AI & Digital Systems

appliedAI Initiative

ÜBER UNS The appliedAI Initiative elevates Europe’s industry to become shapers in the age of AI, creating a future that we desire to live in. Through our ecosystem of strong partners, comprehensive programs, services and solutions we advance companies holistically on their AI journey. With our uniquely diverse, interdisciplinary, and driven team, we build on deep technical expertise while specializing on applicability of the solutions. We share a mindset of collaboration and openness with our ecosystem of leading companies and tech players. Our common goal is to strengthen the European landscape, jointly creating unique knowledge for applying trustworthy AI. We believe that AI Agents will be the dominant topic for AI in the near future and that appliedAI with its partner ecosystem will impact how this technology is being used in industry and beyond in Europe. DEINE AUFGABEN You build the AI systems other engineers learn from. At appliedAI, our industrial engagements sit at the demanding intersection of regulated environments, plant-grade infrastructure, and rapidly evolving AI capability — and you thrive there. In this role, you take end-to-end ownership of production AI delivery for our most complex industrial clients, while setting the engineering standard that elevates the entire AI Engineering team. Your tasks will include: * Architecting and implementing production-grade AI solutions for industrial clients — spanning classical ML, GenAI applications, validated RAG, and agentic systems — with deliberate attention to OT/edge constraints, validation gates, on-prem and hybrid deployments, and MLOps maturity * Defining and championing engineering excellence across the team: code quality, design reviews, evaluation harnesses, observability, security, and MLOps standards * Leading technical delivery from target architecture through production hardening and client handover, working in close collaboration with engagement leads on scope and value * Building reusable engineering accelerators — templates, libraries, and evaluation frameworks — that multiply the impact of the wider AI Engineering team * Mentoring mid-level and senior engineers, facilitating technical guilds, and driving a culture of shared knowledge and continuous improvement DEIN PROFIL * 10+ years of software engineering experience, with at least 5 years building and operating AI/ML systems in production environments * Deep engineering foundation across distributed systems, APIs, data pipelines, cloud-native architecture (Azure, AWS, or GCP), containers, CI/CD, and MLOps * Strong command of Python and the modern AI stack — including PyTorch, LangChain/LangGraph, vector stores, evaluation frameworks, and platforms such as Azure AI Foundry * A demonstrable track record leading complex, end-to-end AI engineering in client-facing settings — experience in industrial or regulated contexts is a strong advantage * Pragmatic and code-first in your approach; opinionated about quality, evaluation, security, and operational maturity * Fluent in English; working proficiency in German is a strong plus DEINE VORTEILE * A highly qualified and motivated team of ~90 people is on a journey to change the rapidly evolving European AI Landscape * Experience the best of both worlds with our hybrid work model: You can choose to work from our vibrant offices - either at the IPAI in Heilbronn or the House of Communication in Munich - while also enjoying the flexibility to work remotely a few days each week * Opportunity to shape a variety of projects and the development of new, original content based on the latest developments in AI and its adoption in businesses * An atmosphere that encourages to think and experiment in new ways with software, hardware, and processes * A highly visible initiative that helps you build a large and high-level network of start-ups, partners, and tech companies * No fixed budget for growth – you decide how you want to develop, whether through training, certifications, conferences, or new challenges * Sports membership with Wellpass to access thousands of sports facilities all over Germany (and beyond), as well as online courses * JobRad: Lease a bike for a cheaper rate via JobRad and we cover the bike insurance on top  * Sabbatical option: You can take a sabbatical of up to 3 months after min. 3 years of employment - because sometimes 30 vacation days are not enough to explore the beauty of this world * PME Familienservice: A 24/7 support for a successful work & life in any life situation. Benefit from free support in areas like life coaching, child care and many other options * Mobility budget: Every month we contribute to your individual mobility usage with public transport or shared mobility offers within the app Moovster * Workation: Work from anywhere for up to 3 months per year - combining working at a nice place and spending your leisure time in the evening like vacation KONTAKT Lucas Fernandes - Senior Talent Acquisition Specialist appliedAI Initiative GmbH, August-Everding-Str. 25, 81671 München

Doctolib

What you’ll do We are looking for a Principal Machine Learning Engineer to join the DS & AI organization at Doctolib. This is a transversal force multiplier role operating across all AI teams: Clinical, Productivity, Phone Assistant and ASR. Rather than working within a single feature team, you will own the cross-cutting technical challenges: defining how Doctolib's product and AI teams build agentic solutions, standardizing ML evaluation frameworks, and spreading strong engineering practices across the org. You will unblock teams, shape architecture decisions, and take on the deep technical work that requires senior ML judgment at scale, directly impacting the daily lives of 400,000 healthcare professionals and the health of 80 million patients. Building at Doctolib means delivering innovative products that measurably improve outcomes for care teams and patients alike.   Technical Strategy & Architecture * Own cross-team ML architecture decisions, from model selection to production deployment patterns and strategic build vs. buy decisions * Define and drive adoption of rigorous evaluation frameworks across all AI teams, setting the standard for how Doctolib measures model and agentic performance * Establish shared production infrastructure patterns for AI: model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observability * Lead the technical design of agentic solutions and define how product teams across Doctolib build on top of AI capabilities * Elevate technical standards across the DS & AI org by influencing Staff and Senior ML Engineers through architecture reviews, technical guidance, and practice propagation * Partner with Product, Legal, and Compliance teams to ensure safe rollout and meet EU regulatory expectations (GDPR, MDR, EU AI Act)   Who you are Before 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 10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives * You have deep expertise in at least two of: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learning * You are expert in Python, PyTorch/Transformers for training, and vLLM for inference with a track record deploying ML systems in production (AWS/GCP) * You have a PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience) * You have exceptional communication skills and are able to align diverse stakeholders and explain complex technical decisions Now it would be fantastic if you have: * Publications in top-tier ML/AI conferences (NeurIPS, ICLR, ACL) or medical informatics venues * Experience with EU healthcare regulations (GDPR, MDR, AI Act) * Prior work with clinical data or healthcare applications   Life at Doctolib Tech * Our solutions are built on a single fully cloud-native platform supporting web and mobile interfaces across multiple languages and healthcare specialties. * Our stack includes Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. * We leverage AI ethically to empower patients and professionals. Discover our AI vision here. Want to learn more about our tech culture and environment? Visit the Doctolib Tech site.   What we offer * Free comprehensive health insurance for you and your children * 25 days of paid vacation per year, plus up to 14 days of RTT * Free mental health and coaching services through our partner Moka.care * Work from abroad for up to 10 days per year thanks to our flexibility days policy * Lunch vouchers with Swile card (€8.50 value, €4.50 covered by Doctolib) * Work Council subsidy for sports club memberships or creative classes * 50% reimbursement of your public transport subscription * Parent Care Program: one additional month of leave on top of legal parental leave * For caregivers and workers with disabilities: remote policy adaptation, extra medical leave, and psychological support * Relocation support for international mobility * Access to premium AI tools for development and dedicated training   The interview process * HR Screen * Hiring Manager Interview * Technical Interview * Technical Case Study * Behavioral Interview * At least one reference check We want your experience to be clear, respectful, and transparent. Learn more on our candidate experience page.   Job details * Permanent position * Full-time * Paris, France * Hybrid work mode (up to 2 remote days per week) * Start date: as soon as possible   We welcome everyone At Doctolib, we believe in improving access to healthcare for everyone - regardless of where you come from or what you look like. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. We respect and celebrate diversity! The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply regardless of gender, religion, age, sexual orientation, ethnicity, disability, or place of origin. To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you have a disability, let us know if there's any way we can make the interview process smoother for you! Join us in building the healthcare we all dream of.   Your data privacy All information transmitted via this form is processed by Doctolib for application management. For more on how we process your data, click here. For inquiries or to exercise your rights, contact us at hr.dataprivacy(at)doctolib.com.

Doctolib

WHAT YOU’LL DO We are looking for a Senior Staff Machine Learning Engineer to join the Clinical team in the AI and Machine Learning Department. You'll lead the technical direction of AI systems that enhance clinical decision-making and patient care. You'll tackle the hardest problems in healthcare AI, from building voice-powered consultation assistants to establishing LLM evaluation frameworks that ensure clinical safety and efficacy. This role combines deep R&D with strategic technical leadership, shaping how Doctolib deploys AI in regulated healthcare environments. Your responsibilities include but are not limited to: Technical Strategy & Architecture * Own the long-term technical roadmap for clinical ML systems, from model architecture selection to production deployment patterns * Drive strategic build vs. buy decisions, balancing custom development with foundation model APIs * Define standards for safe rollout in healthcare contexts: shadow testing, staged deployment, and human-in-the-loop workflows End-to-End ML Delivery * Lead design and implementation of LLM-powered clinical agents (consultation summarization, clinical coding, evidence-grounded recommendations) * Establish rigorous evaluation frameworks using real-world clinical datasets, ensuring outputs meet clinical accuracy and safety standards * Build production infrastructure: model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observability * Define a bold strategy for online and offline performance objectives to reach new levels of healthcare professionals satisfaction Leadership & Impact * Mentor Staff or Senior ML Engineers and Applied Scientists, elevating technical standards across the organization * Lead cross-functional initiatives spanning Product, Medical Affairs, Legal, and Compliance teams * Translate clinical needs into research questions and production systems that measurably improve patient outcomes * Partner with our medical, legal, and compliance teams to meet EU regulatory expectations (e.g., GDPR, MDR, upcoming EU AI Act) and market standards.   WHO YOU ARE Before 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 have 10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives * You have a PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience) * You have deep expertise in at least two of: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learning * You are expert in Python, PyTorch/Transformers for training, vLLM/similar for inference with a track record deploying ML systems in production (AWS/GCP) * You have exceptional communication skills and are able to align diverse stakeholders and explain complex technical decisions Now it would be fantastic if you have: * Publications in top-tier ML/AI conferences (NeurIPS, ICLR, ACL) or medical informatics venues * Experience with EU healthcare regulations (GDPR, MDR, AI Act) * Prior work with clinical data or healthcare applications WHAT WE OFFER * Free comprehensive health insurance (basic package) for you and your children * 25 days of paid vacation per year, plus up to 14 days of RTT * Free mental health and coaching services through our partner Moka.care * Work from abroad for up to 10 days per year thanks to our flexibility days policy * Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib * A subsidy from the work council to refund part of the membership to a sport club or a creative class * 50% reimbursement of your public transport subscription * ParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave, and 75% during the second, covered by Doctolib * Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth * For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support * Relocation support in case of international mobility * Access to the best AI tools for coding, development and dedicated training THE INTERVIEW PROCESS * HR Screen * Hiring Manager Interview * Behavioral Interview * Technical Questions  * Technical Case Study * At least one reference check   JOB DETAILS * Permanent position * Full-time * Hybrid work mode (3 days/week in the office) * Paris, France * Start date: as soon as possible   If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles! At 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, 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! All information provided is processed by Doctolib for application management. For data processing details, click here. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.   * *