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, and a new MacBook.
- 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 (m/w/d) in London employer: Prism Digital
Join a pioneering AI company in Hoxton, London, where you'll have the unique opportunity to shape the future of property transactions. As a founding engineer, you'll enjoy a dynamic work culture that values autonomy and innovation, with benefits including equity, private health insurance, and a supportive team environment. This role offers significant growth potential as you build the core systems of an AI-led platform that is set to revolutionise the way people rent and buy properties.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Engineer:in (m/w/d) in London
✨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 people you know, the better your chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Python, LLMs, or any relevant tech. This gives employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. We want you to feel confident when it’s time to shine!
✨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 reach out directly.
We think you need these skills to ace Remote Engineer:in (m/w/d) in 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 looking for a job, but that you’re genuinely excited about building something innovative from the ground up.
Tailor Your Experience:Make sure to highlight your relevant experience with Python, LLMs, and any other tech mentioned in the job description. We love seeing how your past projects align with what we’re doing, so don’t hold back on those details!
Be Authentic:We appreciate authenticity! Don’t be afraid to share your unique journey and what drives you. Whether it’s your previous founding experience or a project you’re proud of, let us know what makes you, you!
Apply Through Our Website:Finally, make sure to apply through our website. It’s the best way for us to keep track of your application and ensures you get all the updates directly from us. We can’t wait to hear from you!
How to prepare for a job interview at Prism Digital
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, FastAPI, and LLMs. Brush up on your knowledge of AI agent frameworks and RAG pipelines. Be ready to discuss how you've used these technologies in past projects, as they’ll want to see your practical experience.
✨Showcase Your Problem-Solving Skills
Since this role involves building from the ground up, be prepared to tackle hypothetical scenarios during the interview. Think about how you would approach messy, undefined problems and articulate your thought process clearly.
✨Demonstrate Your Passion for Innovation
This company is all about shaking up the property market with AI. Share your thoughts on the future of PropTech and how AI can transform traditional processes. Showing enthusiasm for their mission will set you apart.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s vision, the team dynamics, and the challenges they face. This not only shows your interest but also helps you gauge if this fast-paced, high-commitment environment is the right fit for you.
