Senior AI Solutions Engineer
Salary: Not Disclosed
Company Description
Plentific Ltd is a leading property management technology platform that streamlines operations for landlords, property managers, and service providers. By digitizing the end‑to‑end management of repairs and maintenance, Plentific Ltd empowers teams to manage large portfolios efficiently while providing real‑time transparency and significant cost savings.
Job Description
As a Senior AI Solutions Engineer at Plentific Ltd, you will spearhead the integration of advanced AI technologies into a massive property management ecosystem. You will bridge the gap between complex machine learning models and practical business applications, building scalable solutions that automate maintenance workflows and enhance decision‑making for property professionals globally.
Location
London, UK
Why this role is remarkable
- Opportunity to lead AI strategy within a high‑growth scale‑up that is fundamentally transforming the property management industry through automation and data‑driven insights.
- Work on complex, real‑world problems involving large datasets, where your AI solutions will directly impact the efficiency of thousands of property managers and service providers.
- Collaborate with a top‑tier engineering team in the heart of London, fostering a culture of innovation where cutting‑edge technology is applied to tangible infrastructure challenges.
What You Will Do
- Design and implement scalable AI and machine learning solutions that automate manual processes and optimize property maintenance workflows across the Plentific Ltd platform.
- Collaborate closely with product and engineering teams to identify high‑impact opportunities for AI integration, from predictive maintenance to intelligent document processing.
- Develop and maintain robust data pipelines and model monitoring systems to ensure the long‑term performance, reliability, and accuracy of AI‑driven features in production.
The Ideal Candidate
- Deep technical expertise in machine learning frameworks and large language models (LLMs), with a proven track record of deploying production‑grade AI solutions.
- Strong software engineering foundations, including proficiency in Python and experience with cloud infrastructure, particularly in building and scaling data‑intensive applications.
- Excellent communication skills with the ability to translate complex technical concepts into business value, working effectively across cross‑functional teams to drive adoption.
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