
Veepee · Paris
Pioneer of online flash sales since 2001 and key player in European e-commerce, Veepee collaborates with over 7,000 brands to offer highly discounted products a...
Pioneer of online flash sales since 2001 and key player in European e-commerce, Veepee collaborates with over 7,000 brands to offer highly discounted products available for a limited time. Operating across various sectors, including fashion, home, wine, travel or beauty... Veepee achieved a turnover of 3.3 billion euros incl. VAT in 2024 and employs 5,000 staff members across 10 countries.
🔭 Job Description
Veepee is seeking a talented Senior AI Engineer to join its VeepeeTech team and drive the development and deployment of Generative AI solutions to enhance user experience (hyper personalization, search), sales and operational efficiencies (pricing mechanics, fraud detection, sales and media production, …)
This role will contribute to end-to-end AI projects, from requirement qualification, business stakeholder exchange, and solution formalization, to data ingestion, potential model finetuning, project delivery, production deployment, and continuous monitoring while collaborating closely with cross-functional partners (product managers, developers, architects, data scientists, DevOps)
The ideal candidate will have strong hands-on experience with NLP/LLM architectures, modern deep learning frameworks, and deploying on-premise infrastructure while leveraging cloud-based LLM services; a solid foundation in statistics and mathematics with a genuine passion for modeling and problem formulation; significant professional experience on at least one concrete project involving the use of LLMs; and a proven track record of shipping AI models to production at scale.
OPENING FROM KRAKEN TECHNOLOGIES FRANCE 🇫🇷 - ALL LOCATIONS Help us use technology to make a big green dent in the universe! Kraken powers some of the most innovative global developments in energy. We’re a technology company focused on creating a smart, sustainable energy system. From optimising renewable generation, creating a more intelligent grid and enabling utilities to provide excellent customer experiences, our operating system for energy is transforming the industry around the world in a way that benefits everyone. It’s a really exciting time in energy. Help us make a real impact on shaping a better, more sustainable future. Kraken Customer What we do: build the most AI-driven, innovative, forward-thinking platform for energy management. From optimizing resources to delivering cost-effective, exceptional customer experiences through advanced Customer Information Systems (CIS), billing, meter data management, CRM, and AI-driven communications, Kraken is powering the next wave of innovation in the energy industry. Why we do it: future energy will not look like energy as we know it today. We need to not just think about our future, but build for it. Now. Our mission is to provide cheaper, greener energy to the French market. Octopus Energy France is a fast-growing energy company recognized as an ESS (social economy). **We offer a better experience to our customers through transparency, honesty and simplicity. We want to do better for the planet, through real, long-term investment in renewable energy production and a low-CO2 future that's better for our customers' wallets. We want to revolutionize the energy business through our people, our platform and our use of data. Our focus is on customer satisfaction, and receiving positive reviews is important to us - we have the best score among French energy suppliers on Google Reviews and Trust Pilot. Kraken technologies Kraken Technologies is a company within Octopus Energy Group who are licensing the Kraken platform and operating model to clients across the world. Current clients are both the Octopus Energy retails businesses around the world as well as external clients such as Good Energy, Origin, EDF, E.ON & Queensland Energy - with many more expected to join over the next few years! Our team All technology is written and maintained by a multi-discipline engineering team of around 450 people globally. This includes server-side, client-side and mobile engineers working closely with UX experts, copywriters and designers. We follow a Kanban-like approach, using Google docs and Asana to specify and manage work; Github, CircleCI and Terraform Enterprise as part of an immutable-infrastructure, continuous delivery pipeline; and Loggly, Sentry and Cloudwatch to measure performance and monitor production. Some of our coding conventions are open-source. Octopus is a great place to learn, work with some talented engineers and level-up your skills. Our technology On the server-side, we mainly use Python. Most of our websites are powered by Django and the Django-REST-framework. We also use Pandas, Numpy and Jupyter for analysis and forecasting, plus Celery, RabbitMQ, SQS and Airflow for background processing. We use AWS heavily, employing most of the "Hashistack" (eg Packer, Consul, Terraform) as part of a continuous deployment pipeline. See, for example, Django, ELB health checks and continuous delivery. Client-side, we use React, Redux and SASS; our mobile apps are built using native code or React Native.
JOIN OUR MISSION, JOIN DOCTOLIB! We are looking for a Senior AI Engineer to join the Patient team in Paris. The Patient domain sits at the heart of Doctolib's mission: ensuring everyone has better access to the care they need, receives better care from health professionals, and can actively prevent health problems to improve their wellbeing. You’ll design the search and recommendation engines behind our health companion, helping 100M patients across Europe instantly navigate to the exact care they need while delivering trusted, curated insights at every step. The retrieval and recommendation architecture you own will directly shape how relevant, fast, and trustworthy that experience is for every one of them. Your responsibilities include but are not limited to: * Design and build the production search & recommendation architecture: full retrieval, ranking, reranking pipeline with standard and off-the-shelf components (vector search, semantic retrieval, LLM/managed rerankers). * Establish strong baselines first (prompts, RAG, model selection) before reaching for custom ML. * Build evaluation and observability into every stage, with offline and online evaluation. * Set up the data/event feedback loops that drive iteration and feed deeper ML later. * Improve search relevance and ranking on Patient facing products , raising result quality * Own production quality: latency reliability, monitoring, and maintainability. * Partner with ML Engineers and collaborate closely with PMs and SWEs to define, build, and ship AI-powered features that deliver measurable value to users and the business. 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 could be our next team mate if you have: 1. Production deployment: ability to ship algorithms to production (ECS-based service on AWS) 2. Strong analytical mindset: result-oriented, patient-first approach 3. Significant experience as a Software or/and AI engineer shipping search or recommendation systems to production. 4. Hands-on experience building end-to-end retrieval: ranking, reranking pipelines and familiar with nDCG, MAP, Recall@k, MRR 5. AI-engineering proficiency: turning foundation models and off-the-shelf components into production systems: embeddings & vector search, semantic retrieval, RAG, LLM-based or managed rerankers (e.g. Vertex AI). You can succeed without training a model from scratch 6. Architecture-first approach: you build the system, baselines, evals, and feedback loops with standard tooling before reaching for custom ML, and know when to partner with ML Engineers to break a ceiling 7. Evaluation & observability built into every stage (retrieval, ranker, reranker) — offline and online eval, A/B testing, position-bias handling, monitoring 8. Production deployment — ability to ship reliable, low-latency services to production (hundreds-of-ms SLAs), with care for data quality and long-term maintainability Now, it would be fantastic if you: * Experience at a B2C marketplace (e-commerce, hospitality, travel) * Additional ML methodologies: pattern mining, recommendation systems, experimentation, or causal inference * Have experience with search engines or information retrieval concepts * Have exposure to learning-to-rank or feature engineering (for breaking ceilings later, alongside ML Engineers) * Have experience in a healthcare or other regulated domain (GDPR / HDS) 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 * Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth * ParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave, and 75% during the second, covered by Doctolib * 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 * A first interview with a member of the Talent Acquisition team * A coding interview * An agentics system design * A final interview * Reference check JOB DETAILS * Permanent position * Full Time * Workplace: Levallois * Start date : As soon as possible 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: Germany l France l Italy l Netherlands. Please contact hr.dataprivacy(at)doctolib.com to exercise your rights.
YOUR IMPACT We are looking for a Senior Data Engineer into our engineering team at Doctolib. Your mission will be to build data products that provide insights and support decision-making across Doctolib, helping to transform access to healthcare. You will work in a feature team developing data pipelines and solutions that empower our organization with data-driven insights while supporting our AI strategy, enabling health professionals to deliver better care and helping millions of patients access quality healthcare. 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 Your responsibilities include but are not limited to: * Build and maintain data pipelines using Python (Dagster) to support Doctolib's AI strategy * Develop and maintain data marts in BigQuery using SQL/Jinja, DBT * Create dashboards for high-level reporting using Tableau * Collaborate with stakeholders to understand their data needs and define specifications * Ensure data quality, security (GDPR compliance), and availability through monitoring and optimization 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: * You have at least 7+ years of experience as a Data Engineer, or a similar role * You have a first experience using code assistant (Claude, Cursor) * You are proficient in Python, SQL, and DBT for building data pipelines * You have experience with BI tools such as Tableau, Metabase, or similar platforms * You have first experience with Google Cloud Platform (GCP) stack * You have a good understanding of functional aspects of data (Sales, Finance, Web Analytics, Product) * You have strong communication skills and can collaborate effectively with business teams * You are fluent in English It would be fantastic if you: * Have experience with AI products * Have experience with Vertex AI * Are familiar with GDPR regulations LIFE AT DOCTOLIB TECH * Our 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 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 * Parent Care Program: receive one additional month of leave on top of the legal parental leave * 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 OUR INTERVIEW PROCESS * Recruiter Interview * Coding Interview * System Design * Behavioral interview & Meeting with the team at the office * At least one reference check We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page. JOB DETAILS * Permanent position * Tech stack: Python, SQL, DBT, BigQuery, Tableau, Dagster * Full-time * Paris * Hybrid work setup (up to 2 remote days per week) * Start date: as soon as possible WE WELCOME EVERYONE 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, 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 PRIVACY All information provided is processed by Doctolib for application management. For data processing details, click here: Germany l France l Italy l Netherlands. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.