Pamata

AI Engineer

ravenna, emilia romagna, Italy Uzņēmums: JR Italy Klients / Darba devējs: Live Story, Inc.
Publicēts: 18.05.2026
Beigu datums: 02.07.2026
Darba atsauce: ea5c99f043f56da0e24f0b7713f64c8f

Informācija par darbu

Atrašanās vieta
ravenna, emilia romagna, Italy
Uzņēmums
JR Italy
Klients / Darba devējs
Live Story, Inc.
Darba atsauce
ea5c99f043f56da0e24f0b7713f64c8f
Sludinājuma veids
Pamata
Nepieciešama ES darba atļauja
Publicēts
18.05.2026
Beigu datums
02.07.2026

Darba apraksts

Overview

Live Story is your Creative Digital Experience Platform. It’s the no-code solution to freehandedly turn content into a real story and publish it to the web fast. It reduces the friction in the execution process: less time and fewer resources are required, which translates to lower costs and full independence. With Live Story, a company can skip developmental dependencies and build with a future-ready, remote-focused design platform.

Everyone can design an online layout because no coding skills are required: Live Story’s drag-and-drop editor is incredibly intuitive and has built-in adaptive design features. So designs can be published online in just a few clicks. The process can be sped up even further with our native integrations for platforms such as Adobe Commerce (previously Magento), BigCommerce, Salesforce Commerce Cloud, Shopify, and THRON.

TYPE: Full-time

LEVEL: Mid-Senior

About us

We believe the future of content is dynamic, intelligent and personalized. At Live Story, we're building a new generation of tools that combine visual editing, structured content and AI ‑ powered automation to help brands move faster. We’re now looking for an AI Engineer to help us shape and scale the intelligence layer of our platform.

What we expect
  • 3+ years experience in applied AI, ML or data science, ideally in SaaS or product‑driven environments.
  • Strong experience with Python and relevant libraries (e.g., LangChain, PyTorch, Hugging Face, Scikit‑Learn).
  • Strong English presentation, verbal communication, and written communications skills.
  • Ability to interact with key personnel in assigned partner accounts at various levels of technical and non-technical depth.
  • Ability to translate abstract product goals into technical experiments and real-world features.
  • Fluent in English, proactive communicator, and comfortable working in cross‑functional teams.
What you will do
  • Build and integrate AI features across our product — from smart content generation to dynamic layout optimization.
  • Work closely with product, design and engineering to identify high‑impact use cases for generative AI and ML.
  • Research, prototype and deploy AI/ML models (LLMs, transformers, embeddings, classification, NLP).
  • Fine‑tune and orchestrate open models (e.g., OpenAI, Claude, Llama, Mistral, etc.) for specific product needs.
  • Contribute to our AI infrastructure: prompt engineering, vector databases, performance, cost optimization.
  • Monitor usage, iterate on results and constantly improve the quality and value of AI features.
Nice to have
  • Experience building AI copilots, assistants, or content generation tools.
  • Familiarity with front-end implementation of AI features.
  • Experience optimizing inference cost and latency in production.

Live Story is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

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Prasmes

Agile Project Management Algorithms analyse big data analyse business requirements apply ICT systems theory apply systemic design thinking Artificial Neural Networks Assembly (computer programming) assess ICT knowledge build business relationships build predictive models build recommender systems Business Analytics Business Intelligence business process modelling C COBOL CoffeeScript Common Lisp computer programming Computer Simulation Computer Vision create data sets creatively use digital technologies Data Mining Data Models Data Science database development tools Deep Learning define technical requirements deliver visual presentation of data design application interfaces design database scheme design process develop creative ideas develop statistical software digital data processing Erlang Groovy Haskell ICT project management methodologies identify processes for re-engineering Information Architecture information categorisation Information Extraction information structure Java (computer programming) JavaScript lean project management LINQ Lisp manage business knowledge manage ICT data classification manage ICT semantic integration Matlab Microsoft Visual C++ ML (computer programming) N1QL Objective-C OpenEdge Advanced Business Language operational research Pascal (computer programming) perform dimensionality reduction Perl PHP principles of artificial intelligence Process-based management Prolog (computer programming) Python (computer programming) R resource description framework query language Ruby (computer programming) SAP R3 SAS language Scala Scratch (computer programming) Smalltalk (computer programming) SPARQL Swift (computer programming) systems development life-cycle task algorithmisation TypeScript Unstructured Data use data processing techniques utilise machine learning VBScript Visual Basic visual presentation techniques

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