As an AI Solutions Architect at Plentific Ltd, you will lead the design and deployment of production-ready LLM agents and RAG pipelines. Working within a Python-based stack, you will bridge the gap between product strategy and engineering execution, automating complex property management workflows to drive efficiency for housing officers across Europe.
AI Solutions Architect at Plentific Ltd
Plentific Ltd is seeking a senior AI Solutions Architect to lead the design and deployment of production-grade LLM agents for their market-leading property management platform, working remotely in Italy within a modern Python stack to automate complex workflows for housing providers across Europe. This is a rare opportunity to move beyond AI experiments and ship RAG pipelines to real traffic, establishing AI engineering standards for a growing, well-funded SaaS leader while solving real-world operational challenges at scale.
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Location
Remote, Italy
Compensation
Not Disclosed
Company
Plentific Ltd
Role overview
Plentific is pioneering real-time property operations for real world impact. Its end-to-end solution seamlessly connects owners, operators, service providers, and tenants on a single platform, making operations simpler, faster and more efficient. The platform streamlines property maintenance, repairs, and management, providing data-driven insights, work order management, compliance, and a vetted contractor marketplace. It serves housing providers, real estate clients, and powers over 1 million properties worldwide with AI-powered tools for residential and commercial properties.
What you will do
- Design and deliver production AI features, focusing on LLM-powered agents and RAG pipelines embedded in the core Python platform.
- Collaborate with product managers to identify high-value AI opportunities and implement end-to-end solutions, including evaluation frameworks and safety guardrails.
- Architect and maintain scalable MLOps infrastructure using tools like FastAPI, PydanticAI, LangGraph, and BentoML to support real-time traffic.
Who this is a fit for
- 5+ years of experience in Python development, with proven expertise in building and deploying FastAPI or Django applications in production environments.
- Demonstrated history of deploying LLM-based systems to production traffic, including hands-on experience with orchestration frameworks like LangGraph or PydanticAI.
- Strong background in building RAG pipelines and managing cloud-based MLOps tooling within AWS, GCP, or Azure environments to support scalable AI.
Why this role is remarkable
- Lead the transition from legacy manual processes to AI-driven automation in a high-impact sector that manages essential housing services for communities.
- Own the technical direction for AI engineering, moving beyond experiments to ship production LLM features with real-world traffic and measurable impact.
- Join a growing SaaS leader where you will have the autonomy to establish AI best practices within a sophisticated Python ecosystem and modern stack.
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