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- Tasks: Lead the development of AI-powered systems that automate property management workflows.
- Company: Fast-growing AI startup transforming the UK property sector.
- Benefits: Competitive salary up to £130k, equity, and opportunities for professional growth.
- Other info: Shape engineering culture in a high-growth environment with excellent career prospects.
- Why this job: Join a dynamic team and make a real impact with cutting-edge AI technology.
- Qualifications: Strong Python development experience and familiarity with cloud platforms and microservices.
The predicted salary is between 130000 - 130000 £ per year.
Build AI-powered systems that automate real-world workflows at scale. This is an opportunity to join a fast-growing AI startup building an AI-driven platform automating up to 80% of property management workflows, transforming how compliance, maintenance, and tenant communication are handled across the UK property sector.
As a Lead Python Engineer, you will design and build scalable backend systems, APIs, and AI-driven applications, working at the intersection of software engineering, automation, and AI integration. You will play a key role in developing systems that directly impact end users, while helping shape engineering practices and mentoring other developers in a high-growth environment.
You will be responsible for architecting and building Python-based systems (FastAPI, Django, Flask), developing and optimising data pipelines, and ensuring systems are scalable, secure, and performant. You will collaborate closely with product, AI, and design teams to translate business requirements into technical solutions, while contributing to technical strategy, system design, and code quality.
We are looking for engineers with strong experience in Python development, building production-grade systems, APIs, and microservices, with familiarity in cloud platforms, CI/CD, and modern software engineering practices. Experience working on AI systems, automation platforms, or SaaS products is highly desirable, along with exposure to Node.js, containerisation (Docker/Kubernetes), and scalable architectures.
You may already be operating at a senior level or stepping into leadership, but you will bring strong problem-solving skills, a collaborative mindset, and the ability to work in fast-paced environments where you can take ownership and drive impact.
This is a high-impact opportunity to join early, shape engineering culture, and build AI-powered systems that solve real-world problems at scale.
Apply now or reach out to Nathan Laidlaw at Transparent Technology for a confidential chat.
Python AI Engineer - PropTech - London (onsite) employer: Transparent Technology
Contact Detail:
Transparent Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python AI Engineer - PropTech - London (onsite)
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, tech conferences, or even local events. We can’t stress enough how important it is to build relationships; you never know who might have the inside scoop on job openings.
✨Show Off Your Skills
Don’t just tell them what you can do—show them! Create a portfolio of your projects, especially those involving Python, AI, or any relevant tech. We love seeing real examples of your work, so make sure to highlight your best stuff when you get the chance.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding the systems you’ll be working with. We recommend practicing common algorithms and system design questions. Remember, confidence is key—show them you’re the right fit!
✨Apply Through Our Website
When you find a role that excites you, apply directly through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals to join our team, so don’t hesitate to reach out if you have questions!
We think you need these skills to ace Python AI Engineer - PropTech - London (onsite)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, AI, and the specific technologies mentioned in the job description. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for AI and property tech, and explain how your background makes you a great candidate. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any relevant projects, especially those involving FastAPI, Django, or microservices, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions of your work.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Transparent Technology
✨Know Your Tech Stack
Make sure you’re well-versed in Python, FastAPI, Django, and any other technologies mentioned in the job description. Brush up on your knowledge of microservices and APIs, as you'll likely be asked to discuss how you've used these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, especially when it comes to AI systems or automation platforms.
✨Understand the Business Impact
Familiarise yourself with the property management sector and how AI can transform workflows. Be ready to explain how your technical solutions can directly impact end users and improve efficiency in real-world scenarios.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s engineering culture, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.