About this role
Build the AI capabilities that will shape the future of housing and real estate software At Zig, AI is no longer a future ambition. Across the business, it's already shaping real problems like rental payment predictions, pricing and asset management , concrete territory, not one fixed use case. This role isn't tied to a single product or country: you'll work across the whole of Zig, wherever the Group is growing. And Zig is growing with a clear ambition: to become the leading property tech company in Europe, with AI at the centre of it. So now we are ready to take the next step, and are hiring a AI Engineer. As our first dedicated AI Engineer, you will help determine how we design, evaluate and scale AI across our products. You will work directly with our Chief AI Officer and turn complex challenges in housing and real estate into dependable product capabilities. This is not a role focused on prototypes that never leave a notebook. You will build AI systems that customers can rely on, that deliver measurable value and that can be evaluated, governed and improved throughout their lifecycle. What will you do? As an AI Engineer, you will take ownership of AI capabilities from initial problem definition through to production and continuous improvement. You will: Design, build, deploy and monitor AI-powered features embedded in Zig’s existing SaaS products, while managing the lifecycle of models, prompts, datasets and releases. Develop evaluation strategies using representative datasets, reference tests, quality metrics and regression testing to demonstrate how AI systems perform before and after release. Work with Product Management, domain experts, engineers and customer-facing teams to identify valuable use cases, assess feasibility and turn business challenges into scalable solutions. Apply generative AI, agentic systems, retrieval-augmented generation and conventional machine learning, while contributing to architecture, privacy, security and AI governance. In your first months, your focus will be on delivering a working version of one of the use cases in Zig’s AI portfolio. Together with our Chief AI Officer, you will also help establish the engineering principles and working methods on which Zig’s future AI capability will be built.