At a Glance
- Tasks: Build the core AI platform for revolutionising property rentals and sales.
- Company: Exciting VC-backed startup transforming the property market with AI.
- Benefits: Equity, private health insurance, new MacBook, and more perks.
- Other info: Fast-paced, high-autonomy environment with significant growth potential.
- Why this job: Join a small team to create impactful AI solutions from scratch.
- Qualifications: Experience in Python, LLMs, and building production systems.
The predicted salary is between 100000 - 120000 € per year.
Salary: £100,000 - £120,000 + equity
Location: London (Hoxton) – 5 days/week in-office
I’m working with a very early-stage AI company that’s taking a proper swing at the property market. They’re a small founding team, backed by well-known early-stage investors, already live with customers across the UK and starting to see traction in the US. You’d be joining at the point where the product is real, in use, and messy in the way good early products are, with plenty still to figure out.
The focus is building an AI-led platform that replaces large parts of how estate and letting agents operate today. Right now, that world still runs on phone calls, spreadsheets and manual processes. They’re building something that handles tenant communication, operations, compliance and transactions through AI agents instead.
What They're Looking For:
- Python
- FastAPI
- LLMs (production systems)
- AI agent frameworks (LangGraph or similar)
- RAG pipelines
- Postgres
- Redis
- Async processing and queuing (Celery, RabbitMQ, SQS)
- Event-driven architecture
- CI/CD pipelines
What You'll Work With:
- Python backend services
- LLM orchestration layers
- Vector databases (Pinecone, pgvector or similar)
- API integrations (CRMs, property systems)
- TypeScript
- React
- Next.js
Nice to Haves:
- Voice and telephony systems (Twilio, SIP, WebRTC)
- STT/TTS pipelines (Deepgram, ElevenLabs or similar)
- Messaging integrations (WhatsApp Business API)
- Observability tooling (Datadog, Sentry, LangSmith)
- Previous founding engineer experience
Being a founding engineer or an ex-founder from any company backed by Antler or Entrepreneurs First is preferred but not required.
Why Join / Projects:
The interesting bit here is the scope. You’re not coming in to optimise an existing platform or slot into a defined team. You’re building the core “brain” of the product from the ground up, including how AI agents interact, make decisions, and operate in real-world workflows. They’re starting with agency operations, but the longer-term play is much bigger. Think matching tenants and buyers to properties, handling transactions end-to-end, and effectively sitting on both sides of the marketplace. There’s a clear path from what you build today to something that underpins a much larger platform.
You’ll have full ownership of systems from day one. That includes architectural decisions, tooling choices, and how things scale as usage grows. It’s the kind of environment where you can move quickly, but you’ll also feel the consequences of your decisions in production.
It’s also worth being clear, this is an in-office, high-commitment setup. The team is small, the pace is high, and a lot is still undefined. If you like autonomy and building from scratch, it’s a strong fit. If you prefer structure and clearly defined boundaries, it probably isn’t.
Employee Benefits:
- Equity as part of the founding team
- Private health insurance
- Uber home if working late
- Dinner in the office
- Fortnightly home clean
- New MacBook
If this sounds like your kind of environment, apply and I’ll talk you through it properly.
Remote engineer in City of London employer: Prism Digital
Join a dynamic and innovative team in the heart of Hoxton, London, where you'll have the unique opportunity to shape the future of property technology as a Founding AI Engineer. With a strong focus on autonomy and ownership, you'll be instrumental in building an AI-led platform that revolutionises how estate and letting agents operate, all while enjoying competitive equity options, private health insurance, and a vibrant work culture that encourages creativity and rapid growth.
StudySmarter Expert Advice🤫
We think this is how you could land Remote engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Python, LLMs, or AI. This gives you a chance to demonstrate your expertise and passion for the field.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Brush up on your knowledge of FastAPI, event-driven architecture, and async processing. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Remote engineer in City of London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and its potential in the property market shine through. We want to see that you’re not just skilled in Python and LLMs, but also genuinely excited about building something impactful.
Tailor Your CV:Make sure your CV highlights relevant experience with Python, FastAPI, and any AI frameworks you've worked with. We love seeing how your past projects align with what we’re building, so don’t hold back on those details!
Be Authentic:We appreciate authenticity! Share your unique journey and what drives you as an engineer. Whether it’s a project you’re proud of or a challenge you overcame, we want to know the real you behind the skills.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Prism Digital
✨Know Your Tech Stack
Make sure you’re well-versed in Python, FastAPI, and LLMs. Brush up on your knowledge of AI agent frameworks and RAG pipelines. Being able to discuss your experience with these technologies confidently will show that you’re ready to dive into the role.
✨Showcase Your Problem-Solving Skills
Since this company is building from the ground up, they’ll want to see how you approach messy, undefined problems. Prepare examples from your past where you’ve tackled complex issues, especially in a startup environment. This will demonstrate your ability to thrive in their fast-paced setting.
✨Understand Their Vision
Familiarise yourself with the property market and how AI can revolutionise it. Be ready to discuss how you envision AI agents transforming tenant communication and operations. Showing that you understand their mission will set you apart as a candidate who’s genuinely interested in the role.
✨Prepare Questions About Autonomy
Since this position offers a lot of ownership and decision-making, think about what autonomy means to you. Prepare questions that reflect your desire for responsibility and your understanding of the challenges that come with it. This will help you gauge if the environment aligns with your working style.
