Senior AI Engineer - H/F/X

Job description

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. 🎯 TASKS 🧑‍💻 Build, scale and optimize AI systems Collaborate with stakeholders (product, marketing, operations, commerce, logistics) to analyze business challenges, define precise problem statements, and model them as tractable machine learning tasks (e.g., defining classification vs. ranking objectives, specifying metric targets). Design, implement, and maintain scalable machine learning pipelines, emphasizing Large Language Models (LLMs) and generative architectures. Fine-tune custom LLMs for specific use cases for cost and performance optimizations Monitor AI systems performance in real time (latency, accuracy, drift) and establish automated retraining processes to maintain high quality, robustness, and fairness. Partner with PMs, UX/UI designers and frontend/backend engineers to embed AI capabiliti…