Full-Stack Ai Engineer
4 settimane fa
About Ustyle Ustyle builds AI-driven experiences for fashion e-commerce. We focus on: Virtual try-on solutions LLM / VLM-powered assistants Recommendation systems for outfits, cross-selling and personalisation End-to-end integration into modern front-end, back-end, and cloud infrastructure We are actively growing and looking forward to bringing more talented people on board. Role Overview We’re looking for a Full-Stack & AI Intern (curricular internship only) who can work across the entire product pipeline: Front-end development Back-end development Applied AI (LLMs, VLMs, recommendation systems) Integrating GenAI tools to speed up development You will directly contribute to real product features and prototypes. What you will work on You will build production-level components, not just assist others: Implement and improve front-end features for virtual try-on, outfit recommendation, and product interaction flows Build and maintain APIs and backend services connecting: LLMs / VLMs Recommendation engines E-commerce platforms Use GenAI tools for code generation, UI prototyping, and faster experimentation Work on AI-powered features, such as: Natural-language styling and outfit recommendations Interactive virtual stylists Contribute to cloud deployment, basic configurations, and simple MLOps tasks What we’re looking for We 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 tools Vision models or recommender systems (at least basics) Comfortable using AI coding tools (ChatGPT, Cursor, etc.) Familiarity with REST APIs and JSON Ability to independently debug and read documentation Nice-to-have: Experience with cloud services (AWS / GCP / Azure) Knowledge of databases (SQL / NoSQL) Previous projects related to fashion, VTO, CV, or recommendation systems Experience with Docker and deploying small services What we offerReal product impact: Your work goes directly into prototypes and customer-facing demos Hands-on mentorship from engineers working on LLMs, VLMs, and recommendation systems Ownership: You will take features from idea → prototype → implementation Future opportunity: Strong option for a full-time role after the internship
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Full Stack Engineer
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Full stack engineer
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Turin, Italia Altro A tempo pienoIl nostro Cliente è una software house leader nello sviluppo di soluzioni software di gestione, in forte crescita e con progetti ad alto contenuto tecnologico. Per il potenziamento del team tecnico, siamo alla ricerca di unFull Stack Developer .Sviluppo e manutenzione di applicazioni web full stackProgettazione e sviluppo di API REST e servizi...
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Mid full-stack engineer
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Mid Full-Stack Engineer
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Full-Stack AI Engineer
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Mid Full-Stack Engineer
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Turin, Italia Ai Kosmo - Your Hotel Digital Concierge A tempo pienoFull Stack Developer (Mid) – Remote (Europe)AI Kosmo builds AI-powered digital concierges for hotels. We're a young, remote-first team of 9 (4 devs including CTO) based across Europe, meeting quarterly in Northern Italy.The RoleYour first projects:Port our marketing website to Next.js, translating Figma designs into pixel-perfect code and merging it with...
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Mid Full-Stack Engineer
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Turin, Italia Ai Kosmo - Your Hotel Digital Concierge A tempo pienoFull Stack Developer (Mid) – Remote (Europe)AI Kosmo builds AI-powered digital concierges for hotels. We're a young, remote-first team of 9 (4 devs including CTO) based across Europe, meeting quarterly in Northern Italy.The RoleYour first projects:Port our marketing website to Next.js, translating Figma designs into pixel-perfect code and merging it with...
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Full-Stack AI Engineer
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Turin, Italia Altro A tempo pienoCrisis24 Metropolitan City of Turin, Piedmont, Italy Full-Stack AI EngineerWho We Are Looking ForWe are seeking a Full-Stack AI Engineer to join the Crisis24 AI Lab, an R&D team focused on rapid innovation, early experimentation, and turning emerging AI opportunities into functioning proofs-of-concept that inform and support the Product team in exploring new...