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- 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 health perks.
- Why this job: Make a real impact in the future of property management.
- Qualifications: Strong Python skills and experience with AI applications required.
- Other info: Be part of a dynamic team with global reach and growth opportunities.
The predicted salary is between 36000 - 60000 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.
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’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.
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.
- Company-sponsored lunches, dinners and social gatherings.
- Fully stocked kitchen with drinks, snacks, fruit, breakfast cereal etc.
AI Software Architect employer: Plentific
Contact Detail:
Plentific Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Software Architect
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with Plentific employees on LinkedIn. A friendly chat can open doors that a CV just can't.
✨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 questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. Confidence is key when you're in the hot seat!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Plentific team.
We think you need these skills to ace AI Software Architect
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 that showcase your skills in AI and cloud-based applications.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for property management and how your background aligns with Plentific's mission. Don’t forget to mention specific technologies you’ve worked with that relate to the job.
Showcase Your Projects: If you've built or contributed to any AI-powered applications, make sure to include them in your application. Links to GitHub repositories or live demos can really help us see your skills in action!
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 and shows us you're serious about 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 the technologies mentioned in the job description, especially 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 roles and how you tackled them. Use examples that highlight your ability to build and deploy AI-powered applications, focusing on real-world impacts. This will demonstrate your problem-solving skills and your capacity to contribute to Plentific's mission of transforming property management.
✨Collaborate Like a Pro
Since the role involves working closely with cross-functional teams, be ready to talk about your collaboration experiences. Share examples of how you’ve gathered requirements and iterated on prototypes with product managers and data scientists. This will show that you can work effectively in a team environment, which is crucial for success at Plentific.
✨Stay Ahead of the Curve
Familiarise yourself with emerging AI frameworks and deployment tools. Bring some innovative ideas to the table during your interview. Discussing your knowledge of the latest trends in AI and how they could be applied to enhance Plentific’s platform will impress the interviewers and show your passion for the field.