Base pay range This range is provided by ZURU Toys.
Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
About our Mission & Product ZURU Tech is on a mission to digitalize the construction process of buildings all around the world.
We have a multinational team developing the first BIM software able to build your real dream home: you design, we build it!
ZURU and ZURU Tech have seen unprecedented expansion, achieving significant milestones.
Our trailblazing BIM software continuously pushes the innovation envelope, solidifying our position as industry leaders.
Fuelling our vision are over 120 markets worldwide that have embraced our ground-breaking solutions.
But our journey doesn\'t stop here!
Brilliant inventions take shape from brilliant minds.
We all believe our product is extraordinary so we're looking for extraordinary people too.
Step into the future with ZURU Tech, where technology and creativity intertwine to reshape the construction industry worldwide.
Welcome to the future!
The Role We're looking for an AI Engineer focused on Generative AI, from large language models to diffusion systems, to build real, impactful applications.
At ZURU AI, you'll work on next-generation products that leverage LLMs, LoRA techniques, and generative pipelines to tackle real challenges and deliver value across ZURU's global divisions.
This is not a research-only role: we move fast from idea to demo to product.
You'll join an international team that drives AI strategically, turning generative concepts into real experiences used by designers, engineers, and creators worldwide.
Key Responsibilities
Design, prototype, and implement Generative AI systems (text, image, 3D, and multimodal) that enhance ZURU's 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 your 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, docs, and experiments
Requirements
3–6 years of experience in AI engineering, with proven hands-on work in Generative AI over the past couple of years (text, image, or multimodal)
Strong Python skills and experience with frameworks such as 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 quickly move 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
Exposure to model evaluation and benchmarking practices
Experience bridging research to production (deployment, monitoring, or scaling pipelines)
Some C++ familiarity for integrating AI into high-performance applications
Background or interest in ML 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
The research is addressed to both sexes and to people of all ages and all nationalities.
Candidates interested and in possession of the requirements are invited to send their curriculum vitae.
Seniority level
Not Applicable
Employment type
Full-time
Job function
Engineering and Information Technology
Industries: Manufacturing
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