AI Solutions Architect
Pubblicato il 07-09-2026 - Plentific in Latina
At Plentific, we’re redefining property management in real time. Our mission, is to lead real estate through the transformative journey into “The World of Now,” enabling us to empower property professionals through our innovative, cloud-based platform.
We harness cutting-edge technology and data-driven insights to streamline operations for landlords, letting agents, and property managers—enabling them to optimize maintenance, manage repairs, and make informed decisions instantly. Our platform is designed to create seamless, real-time workflows that transform traditional property management into a dynamic, digital experience.
Backed by a world-class group of investors—including Noa, Highland Europe, Brookfields, Mubadala, RXR Digital Ventures, and Target Global—Plentific is at the forefront of the proptech revolution. Headquartered in London with a global outlook, we’re continually expanding our reach and impact.
We’re looking for forward-thinking, passionate professionals who are ready to contribute to our mission and drive industry innovation.
If you’re excited about making an immediate impact and shaping the future of property management, explore career opportunities with us at Plentific.
The Role As an AI Applied Engineer, you will design, build, and deploy AI-powered features and automation tools that transform how our users interact with our platform and improve internal operational efficiency. You’ll work across the stack to integrate AI capabilities—such as intelligent assistants, AI agents, and predictive systems—directly into our Python-based applications, experimenting with new frameworks and deployment solutions along the way.
Your day-to-day will focus on building real, production-grade AI systems that deliver measurable value—whether that’s automating property management workflows, creating decision-support tools for our teams, or embedding natural language and vision capabilities into our products.
You’ll collaborate closely with product managers, data