Senior AI Engineer

WHAT WE DO Join a team of passionate and hardworking entrepreneurs to transform healthcare! Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with product, design, and business teams. WHAT YOU'LL DO We are looking for a Senior AI Engineer (Python) to join the Conversational AI (CAI) team in the Practice Efficiency domain. As a Senior AI Engineer, your mission will be to build and scale a new product in the Doctolib suite: our Phone Assistant, with the vision to revolutionize access to care for patients and day-to-day practice management for practitioners. This opportunity will allow you to leverage the latest technologies in AI, NLP, and speech recognition to build delightful user experiences and scale your product to millions of users. Your responsibilities include but are not limited to:   * Design, ship, and operate production-grade agentic LLM systems that improve patient-practitioner interaction and streamline healthcare workflows * Validate hypothesis with offline evaluation datasets and A/B tests on real traffic * Partner with other machine learning teams to design and improve evaluation pipelines, security/safety guardrails, and metrics * Develop and maintain core agentic capabilities, including memory, reasoning orchestration, and tool adapters, ensuring strong observability, fallback mechanisms, and fail-safe behaviors * Own performance, observability, and security: monitoring dashboards, SLO/SLI, security posture * Ensure privacy and security by design * Contribute to cross-functional initiatives that shape Doctolib's future AI platform and best practices in building agentic systems that will reinvent the work of health professionals and improve people's health ABOUT OUR TECH ENVIRONMENT * Our solutions are built on a single, fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements. To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components. * 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! WHO YOU ARE Are you convinced that you have exactly what it takes for the position? Then we encourage you to apply. Even if you don't meet every requirement, you might be exactly the right future Doctoliber for this or other positions! 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 6+ years of experience as a software engineer, with significant experience using Python * You have a track record of experience with the full lifecycle of an AI product at scale, from initial evaluation and launch to iterations based on results in production * You understand and promote best practices related to the software development life cycle, such as automated testing, good use of CI/CD, and DevOps practices (you build it - you run it) * You are product-oriented and comfortable guiding your teammates to suggest tradeoffs to balance business needs with technical constraints * You are very focused on code quality and have a rigorous testing culture * You are eager to share your knowledge and help the team grow by pair programming and mentoring * You are comfortable speaking & writing in English in your day-to-day with the team Now, it would be fantastic if you:   * Have experience with agentic systems in production * Have experience in the medical domain WHAT WE OFFER * A Deutschlandticket (Germany-wide public transport pass) fully paid for by Doctolib * 28 vacation days + 1 additional day for each full calendar year of employment (up to a maximum of 30 days) * Work from abroad for up to 10 days per year thanks to our flexibility days policy * Company health insurance with great supplementary benefits through our partner Allianz * Company pension scheme (bAV) through Allianz with an employer subsidy of 40% (15% within the probationary period) * Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth * The Doctolib Parent Care program, which includes one month additional parental leave and much more * Free mental health and coaching services through our partner Moka.care * Subsidized sports membership through our partner Urban Sports Club * A flexible workplace policy offering both hybrid and office-based mode * Alongside healthy snacks and our regular breakfast buffet, we provide a subsidized meal benefit * For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support THE INTERVIEW PROCESS * Recruiter Interview * Feature Building Interview * AI System Design Interview * Behavioral Interview * Reference check * Offer! JOB DETAILS * Full-time * Location: Berlin * Working mode: Hybrid * 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! 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AI ENGINEER / AI ENABLEMENT ENGINEER (M/F/D) Location: Flexible — Hamburg, Berlin ABOUT FREENOW FREENOW empowers smarter mobility decisions, helping people move freely and cities thrive. As Europe’s leading Mobility Super App, we serve more than 54 million users across 16 markets and 170+ cities. AI is becoming core to how we build products, operate the platform, and support our teams. To move from experimentation to real, measurable impact, we are building a central AI Enablement & Evaluation team — and we’re looking for a Senior AI Engineer to help turn AI into a reliable, scalable capability across the company. If you enjoy building AI systems that actually ship, scale, and deliver value — not just demos — this is your next ride 🚕 YOUR MISSION As a Senior AI Engineer, you will sit at the intersection of AI engineering, evaluation, and enablement. Your role is to ensure that AI systems at FREENOW are production-ready, measurable, and safe, while accelerating adoption across product and engineering teams. You will help transform AI from isolated pilots into reusable platforms, tools, and workflows used across the organization. YOUR DAILY ADVENTURES WILL INCLUDE * Designing, building, and maintaining production-grade AI systems using LLMs, agents, and retrieval-based architectures * Owning and evolving the AI Evaluation Framework, including: * multi-turn evaluations * quality, safety, and hallucination metrics * offline and production-data evaluation * Partnering with Product, Engineering, Legal, and Security to ensure AI solutions are compliant, observable, and trustworthy * Supporting and scaling internal AI products such as FreenowGPT and domain-specific AI assistants * Enabling teams through shared tooling, patterns, and best practices (e.g. Gemini enablement, prompt & agent patterns) * Building reusable AI components (RAG pipelines, agent orchestration, model access layers) * Helping define standards for agent-ready architecture (MCP integrations, model abstraction, permissions) * Monitoring AI system performance, cost, and reliability in production * Acting as a technical reference point for AI across squads — from experimentation to rollout OUR AI & TECH STACK Python | LLM APIs (Gemini, OpenAI) | Retrieval-Augmented Generation (RAG) Databricks | Cloud Infrastructure | APIs & Backend Services Evaluation tooling | Observability & monitoring | Internal developer tooling (Exact tools matter less than strong engineering fundamentals — the stack will evolve.) TO BE SUCCESSFUL IN THIS ROLE * You have strong experience as an AI Engineer, ML Engineer, or Senior Software Engineer working with modern AI systems * You’ve built or operated LLM-based systems in production, not just prototypes * You understand the failure modes of LLMs (hallucinations, non-determinism, evaluation challenges) * You consistently balance speed, quality, and pragmatism; knowing when to ship, when to iterate, and when correctness is non-negotiable in production AI systems. * You are comfortable designing evaluation frameworks and defining quality metrics for AI behavior * You have solid backend engineering fundamentals (APIs, services, data access) * You enjoy working across teams and explaining complex AI concepts clearly * You care about reliability, safety, and real business impact, not hype * You are fluent in English NICE TO HAVE * Experience with agentic systems or multi-step workflows * Familiarity with AI governance, risk, or compliance considerations (e.g. GDPR, EU AI Act) * Experience enabling other teams through platforms, SDKs, or internal tools * Prior work in marketplaces, mobility, or large-scale consumer products WHY THIS ROLE MATTERS Most companies experiment with AI. Very few manage to scale it responsibly and profitably. This role is central to: * reducing AI risk in customer-facing systems (support, dispatch, booking), * unlocking company-wide productivity through internal AI products, * and building the technical foundations that allow FREENOW to move fast without breaking trust. You’ll help define how AI is built at FREENOW for years to come. ---------------------------------------------------------------------------------------------------------------------------------- BENEFITS & PERKS IN A NUTSHELL: * Flexible working arrangements * LinkedIn Learning * Sabbatical & special leave policies * WeRoad partnership * Birthday, 24th + 31st December off * Short term EU work policy * Mobility Credit * Health insurance * Employee assistance program   Plus more local benefits depending on your work location! ---------------------------------------------------------------------------------------------------------------------------------- DIVERSITY, EQUITY & INCLUSION: Freenow is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age. We want you to grow and evolve, bring your true self to work.  ---------------------------------------------------------------------------------------------------------------------------------- ABOUT US: Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive. Through our multi-mobility app, we feature broad options for everyone across 9 European markets and over 180 cities. Millions of passengers can access services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds, and public transport within a single app.  In July 2025 Freenow was acquired by Lyft, a global mobility platform, which connects riders and drivers for billions of rides across North America and Europe. Together, Freenow and Lyft are creating a more caring and connected world, with transportation for everyone. We are a global, diverse, highly motivated, and collaborative team that strives for excellence and likes to have fun. Ready for your next ride?