Full-Stack Ai Engineer

7 giorni fa


Torino, Italia Ustyle A tempo pieno

About UstyleUstyle builds AI-driven experiences for fashion e-commerce.We focus on:Virtual try-on solutionsLLM / VLM-powered assistantsRecommendation systems for outfits, cross-selling and personalisationEnd-to-end integration into modern front-end, back-end, and cloud infrastructureWe are actively growing and looking forward to bringing more talented people on board.Role OverviewWe're looking for a Full-Stack & AI Intern (curricular internship only) who can work across the entire product pipeline:Front-end developmentBack-end developmentApplied AI (LLMs, VLMs, recommendation systems)Integrating GenAI tools to speed up developmentYou will directly contribute to real product features and prototypes.What you will work onYou will build production-level components, not just assist others:Implement and improve front-end features for virtual try-on, outfit recommendation, and product interaction flowsBuild and maintain APIs and backend services connecting:LLMs / VLMsRecommendation enginesE-commerce platformsUse GenAI tools for code generation, UI prototyping, and faster experimentationWork on AI-powered features, such as:Natural-language styling and outfit recommendationsInteractive virtual stylistsContribute to cloud deployment, basic configurations, and simple MLOps tasksWhat we're looking forWe don't expect mastery in everything, but we need someone who can already build things end-to-end and learn fast.Must-have:Solid programming skills in at least one backend language (Python or Node.Js/TypeScript)Experience with a front-end framework (React / Next.Js)Basic understanding of:LLMs / GenAI toolsVision models or recommender systems (at least basics)Comfortable using AI coding tools (ChatGPT, Cursor, etc.)Familiarity with REST APIs and JSONAbility to independently debug and read documentationNice-to-have:Experience with cloud services (AWS / GCP / Azure)Knowledge of databases (SQL / NoSQL)Previous projects related to fashion, VTO, CV, or recommendation systemsExperience with Docker and deploying small servicesWhat we offerReal product impact: Your work goes directly into prototypes and customer-facing demosHands-on mentorship from engineers working on LLMs, VLMs, and recommendation systemsOwnership: You will take features from idea ? prototype ? implementationFuture opportunity: Strong option for a full-time role after the internship


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