Job Title
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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