Generative AI SW Engineer
Pubblicato il 11-10-2026 - EDAG Italia in Firenze
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.
- 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).
Total compensation:
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