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- Tasks: Lead the development of AI-driven systems to revolutionise the property market.
- Company: Join a VC-backed AI PropTech startup with a visionary team.
- Benefits: Competitive salary of £85k plus equity in a high-growth environment.
- Why this job: Be a founding engineer and shape the future of real estate technology.
- Qualifications: 2+ years of experience in fast-paced startup environments, proficient in Python and TypeScript.
- Other info: Enjoy significant equity and a clear path for expansion into the US market.
The predicted salary is between 51000 - 119000 £ per year.
Company Description: VC-backed AI PropTech startup
Job Description: You will lead the architectural development of an AI-driven agency model, replacing traditional manual workflows with autonomous agents. As a founding member, you will own everything from feature specification to production-grade deployment, tackling hard problems in LLM integration and operational automation to redefine how the global property market functions from the ground up.
Location: London, UK
Why this role is remarkable:
- Join a founding team backed by top-tier European venture incubators and founders of global tech giants.
- Take a front-row seat in building the "last ever real estate agency" by owning the tech and the service.
- Significant equity stake in a high-growth environment with a clear path to US-based seed expansion.
What you will do:
- Build and deploy production-grade agentic systems and RAG pipelines using Python and TypeScript.
- Drive architectural decisions and product strategy from initial concept to real-world operational impact.
- Maintain high-speed shipping cycles, deploying code to production within your first week of joining.
The ideal candidate:
- Proven builder with 2+ years of experience shipping fast, production-grade code in startup environments.
- AI-native engineer proficient in Python/FastAPI and TypeScript/React with experience in LLM workflows.
- High-agency problem solver with a track record of taking full ownership of complex technical products.
Next steps:
- Step 1. Visit our website.
- Step 2. Click 'Talk to Jack'.
- Step 3. Talk to Jack so he can understand your experience and ambitions.
- Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.
- Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.
- Step 6. If not, Jack will find you excellent alternatives. All for free.
Founding Engineer (£85k + Equity) at VC-backed AI PropTech startup employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Engineer (£85k + Equity) at VC-backed AI PropTech startup
✨Tip Number 1
Get to know the company inside out! Research their mission, values, and recent projects. This will help you tailor your conversation with Jack and show that you're genuinely interested in being part of their journey.
✨Tip Number 2
Prepare to showcase your skills! Think of specific examples from your past work where you've tackled complex problems or shipped code quickly. This will help you stand out as a high-agency problem solver during your chat.
✨Tip Number 3
Don’t be shy about your ambitions! When you talk to Jack, share your vision for how you can contribute to building the 'last ever real estate agency'. This shows you're not just looking for a job, but a chance to make an impact.
✨Tip Number 4
Follow up after your chat! A quick thank-you message to Jack can go a long way. It keeps you on his radar and shows your enthusiasm for the role. Plus, it’s a great way to keep the conversation going!
We think you need these skills to ace Founding Engineer (£85k + Equity) at VC-backed AI PropTech startup
Some tips for your application 🫡
Show Your Passion for AI and PropTech: When you're writing your application, let your enthusiasm for AI and the property tech space shine through. We want to see how your experience aligns with our mission to revolutionise the real estate market!
Highlight Your Technical Skills: Make sure to showcase your proficiency in Python, TypeScript, and any relevant frameworks. We’re looking for someone who can hit the ground running, so don’t hold back on detailing your past projects and achievements.
Be Clear About Your Ownership Experience: We love problem solvers! In your application, share examples of how you've taken ownership of complex technical products. This will help us understand your approach to challenges and your ability to drive projects from concept to deployment.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to connect with you. Just follow the steps outlined in the job description, and let’s get the conversation started!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, TypeScript, and the specifics of LLM workflows. Brush up on your knowledge of production-grade code and be ready to discuss your past projects in detail. This will show that you’re not just a coder but a true builder who understands the intricacies of the tech.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've tackled in previous roles. Highlight how you took ownership of these challenges and the impact your solutions had. This is crucial for a role where high-agency problem solving is key, so make sure your stories are clear and compelling.
✨Understand the Company Vision
Familiarise yourself with the startup's mission to redefine the real estate market. Be ready to discuss how your skills can contribute to building the 'last ever real estate agency'. Showing that you align with their vision will set you apart from other candidates.
✨Be Ready for Fast-Paced Questions
Since they maintain high-speed shipping cycles, expect rapid-fire questions about your coding practices and deployment strategies. Practice articulating your thought process quickly and clearly, as this will demonstrate your ability to thrive in a dynamic environment.
