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- Tasks: Design and deploy AI features that revolutionise property management.
- Company: Join Plentific, a leading proptech company transforming real estate.
- Benefits: Enjoy competitive pay, flexible work, health perks, and generous holiday.
- Other info: Collaborative culture with excellent career growth and learning opportunities.
- Why this job: Make an immediate impact with cutting-edge AI technology in a dynamic environment.
- Qualifications: Strong Python skills and experience in AI/ML applications required.
The predicted salary is between 60000 - 80000 ÂŁ per year.
At Plentific, we’re redefining property management in real time. Our mission is to lead real estate through the transformative journey into “The World of Now,” enabling us to empower property professionals through our innovative, cloud-based platform. We harness cutting-edge technology and data-driven insights to streamline operations for landlords, letting agents, and property managers, enabling them to optimize maintenance, manage repairs, and make informed decisions instantly. Our platform is designed to create seamless, real-time workflows that transform traditional property management into a dynamic, digital experience.
As an AI Applied Engineer, you will design, build, and deploy AI-powered features and automation tools that transform how our users interact with our platform and improve internal operational efficiency. You’ll work across the stack to integrate AI capabilities, such as intelligent assistants, AI agents, and predictive systems directly into our Python-based applications, experimenting with new frameworks and deployment solutions along the way.
Your day-to-day will focus on building real, production-grade AI systems that deliver measurable value, whether that’s automating property management workflows, creating decision-support tools for our teams, or embedding natural language and vision capabilities into our products. You’ll collaborate closely with product managers, data scientists, and other engineers, taking AI solutions from concept to scalable production deployment.
Responsibilities
- Develop and deploy AI-powered features and services in our Python-based stack (FastAPI and Django, DRF) and explore new frameworks (e.g. BentoML) for performance and scalability.
- Build and integrate intelligent automation systems, AI agents, and decision-support tools into core product workflows.
- Implement and optimise LLM-based systems, RAG pipelines, and AI agent architectures for complex property management workflows.
- Work with cross-functional teams to gather requirements, define AI use cases, and iterate quickly on prototypes.
- Integrate complementary AI capabilities—such as voice processing, computer vision, and NLP—into customer-facing and internal tools.
- Ensure all AI applications and models adhere to security best practices, including input validation, secure handling of sensitive data (PII/confidential property information), and protection against prompt injection and other AI-specific vulnerabilities.
- Collaborate with MLOps and platform engineers to ensure models are deployed, monitored, and iterated in production environments.
- Maintain clear documentation for AI systems, APIs, and workflows.
- Stay on top of emerging AI frameworks and deployment tools, bringing forward innovative ideas for application.
Experience & Qualifications
- Strong Python development background (5+ years preferred), with solid experience in FastAPI or Django and Django REST Framework.
- Proven track record of building and deploying AI/ML-powered applications in production environments.
- Proficiency with async and streaming APIs, enabling efficient real-time data processing and low-latency AI service delivery in microservices (FastAPI, Django, Flask, or similar).
- Strong understanding of context engineering practices, optimising prompts, memory, and retrieval strategies for LLM-based systems.
- Hands-on experience with AI-assisted development tools such as Cursor, Claude Code, Codex, and GitHub Copilot, focusing on AI specification-driven approaches for technical analysis, code generation, and code review.
- Hands-on experience with AI/ML frameworks (PyTorch, TensorFlow, HuggingFace) and LLM orchestration tools (PydanticAI, LangChain, LangGraph, or similar).
- Experience deploying ML models using containerised solutions (Docker, Kubernetes) and frameworks like BentoML or equivalent.
- Familiarity with vector databases and retrieval pipelines for RAG architectures.
- Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps tooling (MLflow, Kubeflow, or similar).
- Familiarity with voice-to-text, IVR, and/or computer vision systems is a plus.
- Strong understanding of software engineering best practices—testing, CI/CD, version control, code reviews.
- Excellent problem-solving skills and ability to collaborate in cross-functional teams.
Benefits
- A competitive compensation package
- 25 days annual holiday + 1 additional day for every year served up to 3 years.
- Flexible working environment including the option to work abroad
- Private health care for you and immediate family members with discounted gym membership, optical, dental and private GP
- Enhanced parental leave
- Life insurance (4x salary)
- Employee assistance program
- Company volunteering day and charity salary sacrifice scheme
- Learning management system powered by Udemy
- Referral bonus and charity donation if someone you introduce joins the company
- Season ticket loan, Cycle to work, Electric vehicle and Techscheme programs
- Company-sponsored lunches, dinners and social gatherings
- Fully stocked kitchen with drinks, snacks, fruit, breakfast cereal etc.
AI Engineer employer: Plentific
Contact Detail:
Plentific Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current Plentific employees on LinkedIn. A personal introduction can make all the difference when applying for that AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using Python, FastAPI, or Django. This will give you an edge and demonstrate your hands-on experience to the hiring team.
✨Tip Number 3
Prepare for the interview by brushing up on your problem-solving skills. Be ready to discuss how you've tackled challenges in previous roles, particularly around AI applications and real-time data processing.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Plentific team.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your Python experience and any relevant projects you've worked on. We want to see how your skills align with our mission at Plentific!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and property management, and explain why you’re excited about joining us. Let’s see your personality come through!
Showcase Your Projects: If you've built any AI-powered applications or tools, don’t hold back! Include links or descriptions of your work. We love seeing real examples of what you can do and how you think.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the Plentific team!
How to prepare for a job interview at Plentific
✨Know Your AI Stuff
Make sure you brush up on your AI and machine learning knowledge, especially around the frameworks mentioned in the job description like FastAPI, Django, and any LLM orchestration tools. Be ready to discuss your past projects and how you've applied these technologies in real-world scenarios.
✨Showcase Your Python Skills
Since a strong Python background is crucial for this role, prepare to demonstrate your coding skills. You might be asked to solve problems or even write code during the interview, so practice common algorithms and data structures in Python to show off your expertise.
✨Collaborate Like a Pro
This role involves working closely with product managers and data scientists, so be prepared to discuss how you’ve collaborated in the past. Share examples of how you gathered requirements and iterated on prototypes, highlighting your teamwork and communication skills.
✨Stay Ahead of the Game
Plentific values innovation, so come armed with ideas about emerging AI frameworks and deployment tools. Show your enthusiasm for staying updated in the field and be ready to discuss how you can bring fresh perspectives to their projects.