Generative AI Engineer

About the Company ZURU Tech is on a mission to digitalize the construction process of buildings worldwide with innovative BIM software. We are a multinational team developing the first BIM solution that allows you to design and build your real dream home. With more than 120 markets worldwide, we continue to push the innovation envelope and solidify our position as industry leaders. About the Role We’re looking for an AI Engineer focused on Generative AI. You will build real, impactful applications using large language models, diffusion systems, LoRA techniques, and generative pipelines. This is not a research‑only role; you will move quickly from idea to demo to product, working with designers, engineers, and creators worldwide. Key Responsibilities Design, prototype, and implement generative AI systems (text, image, 3D, multimodal) that enhance internal tools and workflows. Experiment with LLMs, LoRA, diffusion, and agentic systems, adapting open‑source and proprietary models for practical use. Translate research papers and emerging techniques into working demos with measurable impact. Collaborate with UX, OS, and frontend teams to bring models to life inside real products. Build and maintain internal tools, datasets, and pipelines that accelerate experimentation. Occasionally support broader ML or computer‑vision initiatives. Share learnings and foster an AI‑first culture through internal sessions, documentation, and experiments. Requirements 3–6 years of experience in AI engineering, with hands‑on work in generative AI (text, image, or multimodal) in the last few years. Strong Python skills and experience with PyTorch, Hugging Face, or ComfyUI. Solid understanding of transformer architectures, fine‑tuning, LoRA, and model adaptation. Familiarity with LangChain, OpenAI SDK, or similar orchestration frameworks. Ability to move rapidly from concept to prototype, iterating fast and documenting results clearly. English proficiency (B2 or higher) and comfort working in a global, English‑speaking environment. Collaborative mindset—curious, humble, and eager to learn and teach within a tight‑knit team. Nice to Have Experience with model evaluation and benchmarking practices. Experience bridging research to production, including deployment, monitoring, or scaling pipelines. Some C++ familiarity for integrating AI into high‑performance applications. Background or interest in machine learning or computer vision. Who You Are You’re an AI enthusiast who loves exploring new models, frameworks, and ideas. You understand both the science and the craft of AI—reading papers, experimenting, and building. You see every model as a starting point, not a limit. You thrive in a fast‑paced, cross‑functional team and want your work to have tangible impact. You believe in our motto: “AI is not the final destination, but a tool that empowers us to foresee possibilities and shape the future.” Place of Work Modena, Italy Legal Notice The research is addressed to both sexes (Legislative Decree No. 198/2006) and to people of all ages and all nationalities, under legislative decrees 215/03 and 216/03. Candidates interested and in possession of the requirements are invited to send their curriculum vitae, including the authorization to process personal data, under Legislative Decree 196/03 and to the art. 13 GDPR 679/16. What We Offer Flex time: work from 6 am to 10 pm with core time 10:00 am–12:00 pm. Hybrid work‑from‑home policy with office‑first approach. International environment. Paid relocation in Modena/Milan. Access to fresh coffee, drinks, and team parties. #J-18808-Ljbffr