AI Solutions Architect at Plentific Ltd

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7mb0uo

Job Title

AI Solutions Architect

Salary

Not Disclosed

Company Description

Plentific 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.

Job Description

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.

Location

Remote, Italy

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.

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.

The ideal candidate

- 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.

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Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7mb0uo