At a Glance
- Tasks: Architect and build AI-driven backend systems and scalable APIs using Python.
- Company: Fast-growing PropTech AI startup with top-tier investors.
- Benefits: Equity options, competitive salary, and a dynamic work environment.
- Why this job: Shape the future of property management with cutting-edge AI technology.
- Qualifications: 3+ years in software engineering with expertise in Python frameworks.
- Other info: Join a collaborative team and influence product strategy in a high-growth stage.
The predicted salary is between 36000 - 60000 Β£ per year.
As a Senior Python Engineer, you will architect and build AI-driven backend systems that automate complex property management operations. You will design scalable APIs and data pipelines on GCP, collaborating with AI and product teams to deliver intelligent software. This role is pivotal in transforming industry-standard manual workflows into efficient, automated experiences for professionals.
Location: London, UK
Why this role is remarkable:
- You will shape the core technical foundation of a high-impact platform at an early, high-growth stage.
- The company is well-funded by top-tier investors and is solving complex automation challenges in a massive market.
- You will work at the intersection of AI and PropTech, directly influencing product strategy and technical execution.
What you will do:
- Architect, design, and build robust backend systems and scalable APIs using Python.
- Collaborate with AI engineers to integrate production-ready models into the core platform.
- Optimize and manage high-performance data pipelines and cloud infrastructure on GCP.
The ideal candidate:
- Holds a First-Class or strong academic degree in Computer Science or a related engineering field.
- Has 3+ years of experience in software engineering with deep expertise in Python frameworks like FastAPI or Django.
- Possesses proven experience building scalable APIs and working within cloud-native (GCP) and CI/CD environments.
Next Steps:
- Visit our website.
- Click 'Talk to Jack'.
- Talk to Jack so he can understand your experience and ambitions.
- Jack will ensure the AI recruiter considers you for this role.
- If the AI recruiter thinks you're a great fit and the client wants to meet you, an introduction will be made.
- If not, Jack will find you excellent alternatives. All for free.
Python Engineer (+ Equity) at fast-growing PropTech AI startup in London employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Python Engineer (+ Equity) at fast-growing PropTech AI startup in London
β¨Tip Number 1
Make sure you know your stuff! Brush up on Python frameworks like FastAPI or Django, and be ready to chat about your experience with scalable APIs. We want to see that you can walk the walk, not just talk the talk.
β¨Tip Number 2
Donβt underestimate the power of networking! Reach out to people in the industry, especially those who work at PropTech or AI startups. We can help connect you with the right folks if you apply through our website.
β¨Tip Number 3
Prepare for technical interviews by practising coding challenges and system design questions. We recommend using platforms that simulate real interview scenarios to get you in the zone.
β¨Tip Number 4
When you apply, donβt just send your CV! Use the 'Talk to Jack' feature on our website to have a chat about your ambitions. This personal touch can make all the difference in landing that dream role.
We think you need these skills to ace Python Engineer (+ Equity) at fast-growing PropTech AI startup in London
Some tips for your application π«‘
Show Off Your Python Skills: Make sure to highlight your experience with Python frameworks like FastAPI or Django. We want to see how you've used these tools in real projects, so donβt hold back on the details!
Talk About Your Cloud Experience: Since weβre all about GCP and cloud-native environments, share any relevant experience you have. Let us know how you've optimised data pipelines or managed cloud infrastructure in your previous roles.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your skills and experiences that relate to the role.
Apply Through Our Website: Donβt forget to apply through our website! Itβs the best way for us to connect with you. Just follow the steps and letβs get the conversation started!
How to prepare for a job interview at Jack & Jill/External Ats
β¨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially with frameworks like FastAPI or Django. Be ready to discuss your past projects and how you've used these technologies to build scalable APIs.
β¨Understand the PropTech Landscape
Familiarise yourself with the PropTech industry and the specific challenges it faces. This will help you demonstrate your understanding of how AI can transform property management and show that you're genuinely interested in the role.
β¨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and coding abilities. Practice coding challenges and be prepared to explain your thought process clearly, as collaboration is key in this role.
β¨Showcase Your Collaboration Skills
Since you'll be working closely with AI engineers and product teams, highlight your experience in collaborative environments. Share examples of how you've successfully worked with cross-functional teams to deliver projects.