At a Glance
- Tasks: Build the core AI platform for revolutionising property rentals and sales.
- Company: Join a dynamic, VC-backed startup transforming the property market.
- Benefits: Equity, private health insurance, and perks like Uber rides and office dinners.
- Other info: Fast-paced, high-autonomy environment with significant growth potential.
- Why this job: Shape the future of real estate with cutting-edge AI technology.
- Qualifications: Experience in Python, LLMs, and building scalable 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 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 transactions through AI. As a founding engineer, you'll enjoy a collaborative work culture that values autonomy and creativity, alongside competitive benefits such as equity, private health insurance, and a supportive environment for personal and professional growth. This is not just a job; it's a chance to be part of something transformative in the PropTech space.
StudySmarter Expert Advice🤫
We think this is how you could land Remote engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that remote engineer gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving AI and LLMs. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past experiences in building systems from scratch.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Remote engineer
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 how you can contribute to our mission of revolutionising how people rent and buy.
Tailor Your Experience:Make sure to highlight your experience with Python, LLMs, and any relevant frameworks. We’re looking for specific examples that demonstrate your skills and how they align with what we’re building at StudySmarter.
Be Authentic:Don’t be afraid to show your personality! We value authenticity and want to know who you are beyond your technical skills. Share your journey, your challenges, and what excites you about this role.
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 don’t miss out on any important updates from 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 RAG pipelines and event-driven architecture. Being able to discuss how you've used these technologies in past projects will show that you're not just familiar with them, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Since this role involves building from the ground up, be prepared to discuss how you've tackled messy, undefined problems in previous roles. Share specific examples where you’ve had to make architectural decisions or choose tooling that impacted the product's success.
✨Demonstrate Your Passion for AI
This company is all about revolutionising the property market with AI. Show your enthusiasm for AI technologies and how they can transform industries. Discuss any personal projects or research you've done related to AI agents or automation that could relate to their mission.
✨Cultural Fit Matters
This is a small, high-commitment team, so it’s crucial to convey that you thrive in fast-paced, autonomous environments. Be honest about your work style and how you handle ambiguity. If you enjoy taking ownership and building things from scratch, let that shine through in your conversation.
