AI Solutions Architect at Plentific Ltd

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7n18fl

ph3Job Title /h3pAI Solutions Architect /ph3Salary /h3pNot Disclosed /ph3Company Description /h3pPlentific Ltd is a leading property management SaaS platform used by housing providers, councils, and property companies across the UK and Europe to manage repairs, tenancies, and resident communications at scale. Backed and growing, they are integrating sophisticated AI to modernize legacy property management workflows. /ph3Job Description /h3pAs 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. /ph3Location /h3pRemote, Italy /ph3Why this role is remarkable /h3ulliLead the transition from legacy manual processes to AI-driven automation in a high-impact sector that manages essential housing services for communities. /liliOwn the technical direction for AI engineering, moving beyond experiments to ship production LLM features with real-world traffic and measurable impact.



/liliJoin a growing SaaS leader where you will have the autonomy to establish AI best practices within a sophisticated Python ecosystem and modern stack. /li /ulh3What You Will Do /h3ulliDesign and deliver production AI features, focusing on LLM-powered agents and RAG pipelines embedded in the core Python platform. /liliCollaborate with product managers to identify high-value AI opportunities and implement end-to-end solutions, including evaluation frameworks and safety guardrails. /liliArchitect and maintain scalable MLOps infrastructure using tools like FastAPI, PydanticAI, LangGraph, and BentoML to support real-time traffic. /li /ulh3The ideal candidate /h3ulli5+ years of experience in Python development, with proven expertise in building and deploying FastAPI or Django applications in production environments. /liliDemonstrated history of deploying LLM-based systems to production traffic, including hands-on experience with orchestration frameworks like LangGraph or PydanticAI. /liliStrong background in building RAG pipelines and managing cloud-based MLOps tooling within AWS, GCP, or Azure environments to support scalable AI. /li /ul /p #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7n18fl