Full-Stack AI Engineer

6 giorni fa

Turin, Piemonte, Italia Ustyle A tempo pieno

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 )
  • Experience with a front-end framework (React / )
  • 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 offer
    Real 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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