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Generative AI Software Engineer

Pubblicato il 19-10-2026 - EDAG Group in Rimini

High competence and the passion for new challenges make our Electrics/Electronics division the guidepost to the Automotive future. Take your next step and join our team. We are looking for a skilled and autonomous Generative AI SW Engineer to join a technically exciting program, developing the new central brain of an infotainment system — a Main Unit that also drives the instrument cluster display and manages connected services. Your Growth Opportunities: * Generative AI development. Playing a central role in a Generative AI-based solution to power natural language interaction on board. * Model integration. Integrating and adapting the identified solution for embedded execution, balancing accuracy, latency and hardware resource constraints — possibly including fine-tuning activities. * System architecture. Supporting the definition of the architecture connecting the Main Unit's core logic with specific functions (cluster display, connected services). * Prototyping and validation. Building prototypes and proof-of-concepts, testing model behaviour and response quality,



and iterating based on results. Your skills that will help us to get ahead: * You have a Bachelor's or Master's degree in computer science, electronics or IT-related engineering, with an AI-specific background. * 1–5 years of hands-on experience in software/AI engineering, ideally with exposure to generative AI, LLMs/SLMs or embedded systems — you're already autonomous on core tasks. * Solid knowledge of Generative AI concepts and techniques (RAG, agent orchestration; fine-tuning experience is a plus) and strong Python skills. * Good understanding of embedded systems and resource-constrained environments. * Knowledge of cloud AI services (e.g. Azure) to support hybrid on-device/cloud architectures is a plus. * Familiarity with AUTOSAR is a plus; knowledge of Kotlin and/or C# is also a plus. * Strong passion for automotive, AI and innovation. * Good knowledge of Italian and English (written and spoken).

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