Descrizione:
Posted: 19.05.2026Job reference: 6f36410d9107cfc68fd5a67c5639e03dJob informationLocation: ItalyClient / Employer: JobgetherJob reference: 6f36410d9107cfc68fd5a67c5639e03dListing type: BasicEU work permit required: NoPosted: 19.05.202603.07.2026OverviewAI Platform Engineer, Applied AI in Italy. We are seeking a highly skilled AI Platform Engineer to design and implement infrastructure that enables large‑scale AI systems to operate reliably and efficiently. In this role you will focus on production AI systems, building evaluation frameworks, observability tooling, and diagnostic infrastructure to measure and improve system performance. You will collaborate with engineers across the organization to identify gaps, prototype solutions, and implement improvements that enhance AI‑driven features. This is a high‑ownership role with significant influence on how AI features are monitored, evaluated, and improved.ResponsibilitiesBuild evaluation infrastructure to measure AI system speed, accuracy, and reliability, both offline and in production.Develop observability tools and dashboards that surface quality metrics and track improvements over time.Diagnose performance gaps across retrieval, ranking, prompting, and other AI workflows.Prototype and validate improvements to AI pipelines, including RAG pipelines, chunking strategies, retrieval methods, and re‑ranking approaches.Analyze usage data to identify opportunities for enhancement and work with engineers to ensure production changes improve system quality and reliability.Stay current with cutting‑edge AI research, techniques, and tools to inform platform improvements.QualificationsProven experience building and evaluating AI systems in production, including RAG pipelines, retrieval/search systems, and LLM‑powered applications;
proficiency in Python for prototyping and to learn and work with Ruby on Rails for integrating with production systems.Expertise in AI infrastructure, evaluation pipelines, observability tooling, and data processing.Deep understanding of RAG architecture, embeddings, retrieval, re‑ranking, and context management.Strong experimentation and data analysis skills, including designing A/B tests.#J-18808-Ljbffr