Generative AI Engineer

ph3About the Company /h3 pZURU 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. /p h3About the Role /h3 pWe’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. /p h3Key Responsibilities /h3 ul liDesign, prototype, and implement generative AI systems (text, image, 3D, multimodal) that enhance internal tools and workflows. /li liExperiment with LLMs, LoRA, diffusion, and agentic systems, adapting open‑source and proprietary models for practical use. /li liTranslate research papers and emerging techniques into working demos with measurable impact. /li liCollaborate with UX, OS, and frontend teams to bring models to life inside real products. /li liBuild and maintain internal tools, datasets, and pipelines that accelerate experimentation. /li liOccasionally support broader ML or computer‑vision initiatives. /li liShare learnings and foster an AI‑first culture through internal sessions, documentation, and experiments. /li /ul h3Requirements /h3 ul li3–6 years of experience in AI engineering, with hands‑on work in generative AI (text, image, or multimodal) in the last few years. /li liStrong Python skills and experience with PyTorch, Hugging Face, or ComfyUI. /li liSolid understanding of transformer architectures, fine‑tuning, LoRA, and model adaptation. /li liFamiliarity with LangChain, OpenAI SDK, or similar orchestration frameworks. /li liAbility to move rapidly from concept to prototype, iterating fast and documenting results clearly. /li liEnglish proficiency (B2 or higher) and comfort working in a global, English‑speaking environment. /li liCollaborative mindset—curious, humble, and eager to learn and teach within a tight‑knit team. /li /ul h3Nice to Have /h3 ul liExperience with model evaluation and benchmarking practices. /li liExperience bridging research to production, including deployment, monitoring, or scaling pipelines. /li liSome C++ familiarity for integrating AI into high‑performance applications. /li liBackground or interest in machine learning or computer vision. /li /ul h3Who You Are /h3 ul liYou’re an AI enthusiast who loves exploring new models, frameworks, and ideas. /li liYou understand both the science and the craft of AI—reading papers, experimenting, and building. /li liYou see every model as a starting point, not a limit. /li liYou thrive in a fast‑paced, cross‑functional team and want your work to have tangible impact. /li liYou believe in our motto: “AI is not the final destination, but a tool that empowers us to foresee possibilities and shape the future.” /li /ul h3Place of Work /h3 pModena, Italy /p h3Legal Notice /h3 pThe 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. /p h3What We Offer /h3 ul liFlex time: work from 6 am to 10 pm with core time 10:00 am–12:00 pm. /li liHybrid work‑from‑home policy with office‑first approach. /li liInternational environment. /li liPaid relocation in Modena/Milan. /li liAccess to fresh coffee, drinks, and team parties. /li /ul /p #J-18808-Ljbffr