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- Tasks: Lead the development of an AI-native property lending platform and automate complex processes.
- Company: Join a lean fintech startup revolutionising the UK real estate market.
- Benefits: Remote work, equity opportunities, and a clear path to CTO role.
- Other info: Work directly with the CEO in a dynamic, high-ownership environment.
- Why this job: Be the sole engineer driving innovation in a £250bn industry with immediate impact.
- Qualifications: 5+ years full-stack experience with TypeScript, React, and Node.js.
The predicted salary is between 60000 - 80000 £ per year.
Join a lean fintech startup as the sole engineer building an AI-native operating system for property lenders. You will lead the transition from traditional SaaS to an AI-driven platform, automating complex underwriting and document extraction. This is a high‑ownership role working directly with the CEO to modernise the £250bn real estate lending industry.
Why this role is remarkable:
- Immediate technical autonomy as the sole engineer, driving architectural decisions and the technical roadmap for a live platform serving real clients.
- Clear path to a CTO role with equity upon successful delivery of the initial product roadmap and document ingestion layer.
- Opportunity to work at the cutting edge of fintech by building an AI-native core that cuts loan funding times by 50%.
What You Will Do:
- Build and maintain a full‑stack TypeScript application, extending a configurable formula system and PostgreSQL‑backed data model.
- Develop an AI document ingestion layer using LLM APIs to automatically extract structured data from complex financial documents.
- Integrate asynchronous processing queues and third‑party financial data services using AWS, Node.js, and Supabase.
The Ideal Candidate:
- 5+ years of full‑stack experience with TypeScript, React, and Node.js, including strong proficiency in PostgreSQL schema design.
- Proven background in fintech or lending, with a deep understanding of loan mechanics, interest calculations, and financial data integrity.
- Hands‑on experience integrating LLMs or building AI‑powered features into production environments, specifically for data extraction or OCR.
Senior Full Stack Engineer at AI-native property lending operating system in London employer: Jack & Jill
Contact Detail:
Jack & Jill Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Full Stack Engineer at AI-native property lending operating system in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those who are already working with AI and property lending. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your full-stack projects, especially any that involve TypeScript, React, or AI integrations. This will give potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of PostgreSQL schema design and loan mechanics. We all know that being well-prepared can set you apart from the competition!
✨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. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Full Stack Engineer at AI-native property lending operating system in London
Some tips for your application 🫡
Show Your Passion for Fintech: When writing your application, let your enthusiasm for fintech shine through! We want to see how your experience aligns with our mission to revolutionise the property lending industry. Share specific examples of your work in fintech or any projects that highlight your understanding of loan mechanics.
Highlight Your Technical Skills: Make sure to showcase your full-stack expertise, especially with TypeScript, React, and Node.js. We’re looking for someone who can hit the ground running, so don’t hold back on detailing your hands-on experience with PostgreSQL and AI integrations. The more relevant details you provide, the better!
Tailor Your Application: Customise your application to reflect the specifics of this role. Mention how your previous roles have prepared you for the challenges of building an AI-native operating system. We love seeing candidates who take the time to connect their skills with what we’re looking for!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy – just follow the prompts and let us know why you’d be a great fit!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in TypeScript, React, Node.js, and PostgreSQL. Brush up on your knowledge of how these technologies work together, especially in a fintech context. Be ready to discuss your past projects and how you’ve used these tools to solve real-world problems.
✨Showcase Your Fintech Experience
Since this role is all about property lending, it’s crucial to highlight your experience in the fintech sector. Prepare examples that demonstrate your understanding of loan mechanics and financial data integrity. This will show that you can hit the ground running in this high-ownership role.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Be prepared to explain your architectural decisions and how you would approach building an AI document ingestion layer. Practise articulating your thought process clearly, as this will be key when discussing complex topics with the CEO.
✨Demonstrate Your Problem-Solving Skills
Think of specific challenges you’ve faced in previous roles and how you overcame them. This could involve integrating third-party services or optimising performance in a full-stack application. Showing your problem-solving skills will reassure them that you can tackle the complexities of modernising the real estate lending industry.