Applied AI Engineer

About Dwelly Dwelly is building the AI operating system for residential lettings. Its growing network of agencies provides its AI with real-world data, continuous feedback, and control over complete workflows, making exceptional service the standard for landlords and tenants. Today, Dwelly operates more than 15,000 properties and $470 million in GMV, making it one of the UK’s ten largest lettings operators. The company has raised $263 million. We’re a fast-growing, product-focused company, backed by top-tier investors and led by a team with deep experience in real estate, technology, and operations. Position Summary We’re looking for an Applied AI Engineer to help build the agentic infrastructure that powers automation across Dwelly. Our growth model is acquisition. Every agency we acquire brings new operational workflows, legacy processes, and manual work. If we manage each new agency manually, the economics of the model break. Our ability to scale depends on turning complex operational processes into reliable AI-driven and automated systems. We already have successful AI-driven flows running in Tenant Find and Property Management. They work and deliver real business results. But they were built quickly and as separate systems. The next challenge is to bring these approaches together: build reusable agentic infrastructure, establish a robust evaluation and observability layer, and create systems that allow us to automate new workflows quickly and reliably as Dwelly scales. This is not an AI research role. You will be building AI systems that operate inside a real business and are expected to work reliably in production. We’re hiring remotely across the UK, Ireland, and European time zones . Candidates should be based within these regions/time zones to enable effective collaboration with the wider team. Key Responsibilities 1. Agentic infrastructure Design and build the core primitives behind our agentic systems, including memory, context management, tool-calling, o