At a Glance
- Tasks: Design and deploy AI features that revolutionise property management.
- Company: Join Plentific, a leader in proptech innovation.
- Benefits: Enjoy competitive pay, flexible work, and generous holiday.
- Other info: Collaborative environment with opportunities for growth and learning.
- Why this job: Make a real impact in the future of property management.
- Qualifications: Strong Python skills and experience with AI applications required.
The predicted salary is between 36000 - 60000 £ per year.
At Plentific, we are 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.
The Role
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 will 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 will 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
Here’s what we offer:
- 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.
- Pension scheme.
- Work abroad scheme.
- Company-sponsored lunches, dinners and social gatherings.
- Fully stocked kitchen with drinks, snacks, fruit, breakfast cereal etc.
AI Software Architect in London employer: Plentific
Plentific is an exceptional employer that champions innovation and collaboration within a dynamic hybrid working environment. With a strong focus on employee growth, the company offers comprehensive benefits and competitive compensation, ensuring that team members are well-supported in their professional journeys. Located in the vibrant city of London, Plentific provides a unique opportunity to work at the forefront of technology while enjoying a rich cultural experience.
StudySmarter Expert Advice🤫
We think this is how you could land AI Software Architect in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Plentific employees on LinkedIn. A friendly chat can sometimes lead to job opportunities that aren't even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI and Python development. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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 at Plentific. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace AI Software Architect in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Software Architect role. Highlight your Python experience and any relevant projects you've worked on, especially those involving AI/ML applications. 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 property management and how you can contribute to our innovative platform. Be sure to mention specific technologies or frameworks you're excited about, like FastAPI or Django.
Showcase Your Projects:If you've got a portfolio of projects, don't hesitate to share it! Whether it's GitHub repos or live demos, we love seeing real examples of your work. It gives us insight into your problem-solving skills and creativity in AI development.
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 genuinely interested in joining our team at Plentific!
How to prepare for a job interview at Plentific
✨Know Your Tech Stack
Make sure you’re well-versed in Python, FastAPI, and Django. Brush up on your experience with AI/ML frameworks like PyTorch and TensorFlow, as well as containerisation tools like Docker. Being able to discuss your hands-on experience with these technologies will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects and how you tackled them. Use examples that highlight your ability to collaborate with cross-functional teams and iterate on prototypes. This will demonstrate your practical experience and problem-solving mindset.
✨Understand the Company’s Mission
Familiarise yourself with Plentific's mission to redefine property management. Be ready to discuss how your skills can contribute to their goal of creating seamless, real-time workflows. Showing genuine interest in their vision will set you apart from other candidates.
✨Prepare Questions for Them
Have a few thoughtful questions ready about their AI initiatives or future projects. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals. It’s a two-way street, so make sure you’re also assessing if this is the right fit for you!
