At a Glance
- Tasks: Design and develop innovative AI-driven systems for smarter real estate transactions.
- Company: Join a fast-growing start-up transforming commercial real estate with cutting-edge AI technology.
- Benefits: Enjoy flexible working hours, competitive salary, equity options, and 25 days paid holiday.
- Other info: Diversity is valued; we encourage all to apply, even if you don't meet every criterion.
- Why this job: Make a real impact in the AI field while collaborating with a dynamic team.
- Qualifications: Experience in software or AI systems; passion for building with frontier models.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking AI Engineers across all experience levels to join our team as we build and scale innovative AI‑driven products that make commercial real estate transactions smarter, faster, and friction‑free. Our current product transforms the way real estate professionals conduct due diligence, streamlining the analysis of extensive property portfolios previously involving tens of thousands of documents reviewed manually by legal teams.
As an AI Engineer, you will own the end‑to‑end design and development of AI‑driven features and systems, working alongside a dynamic, fast‑paced team focused on quality, usability, and impact. You will play a critical role in every stage of the development lifecycle, from discovery and design to implementation, deployment, and continuous improvement, delivering solutions to lawyers and a broader B2B customer base.
Responsibilities- Take ownership of key AI technology decisions and lay the groundwork for the company’s ambitious growth plans.
- Design, develop, and deploy AI‑driven systems and features, integrating state‑of‑the‑art LLMs.
- Collaborate with a cross‑functional team to define user stories, rapidly experiment, and ship new features directly to customers.
- Explore and implement advanced concepts such as multi‑agent systems, retrieval‑augmented generation (RAG), agentic architectures, and next‑generation document‑understanding pipelines.
- Champion quality and reuse across the product and the codebase – including evaluation, monitoring, and reliability patterns for AI systems.
- Work across the business to ensure the features you develop have a real impact on customers and move key business metrics.
- Participate in architecture and code reviews to continuously improve the quality, maintainability, security, and scalability of our applications.
- You have proven experience delivering large, complex software and/or AI systems.
- You can demonstrate excellence in something – evidence you’ve reached a high bar (technical, academic, competitive, creative, or otherwise).
- You have a generalist mindset and enjoy working across boundaries (engineering, product, design, domain experts) to achieve the best outcome.
- You value shipping early and often to get customer feedback and then iterating quickly to improve the product.
- You have excellent verbal and written communication skills in English.
- You are AGI‑pilled: you have real conviction about where AI is heading, and you’re excited to build with frontier models in production.
- Prior experience with LLMs (OpenAI’s GPT‑5, Claude models, etc.) or agentic systems is a plus.
- Any frontend experience is a plus.
- Proven expertise in building highly secure, fault‑tolerant APIs is a plus.
- Experience building high‑performance, distributed systems at scale is a plus.
- Strong understanding of modern dev practices like 12‑Factor, CI/CD, and observability tools such as Datadog or Prometheus is a plus.
- Exposure to GraphQL APIs and WebSockets for real‑time interactions is a plus.
- Competitive starting salary
- Matched pension contributions and equity options in a fast‑growing start‑up
- Flexible working hours and location
- 25 days paid holiday (plus bank holidays)
- Professional equipment and a personal development budget with training opportunities
- Cycle‑to‑work scheme
- An inclusive community enjoying all‑company off‑sites, lunches and socials
We value diversity at Orbital and encourage applications from those who are traditionally underrepresented in tech. Even if you do not meet every criterion, we would love to hear from you. At Orbital, we are committed to building a diverse and inclusive team. If you are passionate about building AI in production and want to help transform commercial real estate, we want to hear from you.
AI Engineer — Remote, Equity & Real Estate Impact employer: Orbital
At Orbital, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. As an AI Engineer, you'll have the opportunity to work remotely with flexible hours, enjoy competitive benefits including matched pension contributions and equity options, and engage in continuous professional development. Join us in transforming the commercial real estate sector while being part of a diverse community that values your unique contributions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer — Remote, Equity & Real Estate Impact
✨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 showcasing your AI projects, especially those that relate to real estate or complex systems. 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 soft skills. Practice common interview questions and be ready to discuss your past projects in detail. Remember, they want to see how you think and solve problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team and making an impact in the AI-driven real estate space.
We think you need these skills to ace AI Engineer — Remote, Equity & Real Estate Impact
Some tips for your application 🫡
Show Your Passion for AI:Let us see your excitement for AI in your application! Share any projects or experiences that highlight your journey in the field. We want to know what drives you and how you envision contributing to our innovative team.
Tailor Your Application:Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. Highlight your expertise in AI systems and any relevant technologies, so we can see how you fit into our vision.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to describe your achievements and skills, making it easy for us to understand your qualifications and how they align with the role.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy and quick!
How to prepare for a job interview at Orbital
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially around LLMs and agentic systems. Be ready to discuss your experience with these technologies and how they can be applied to real estate transactions.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex software or AI systems you've delivered. Highlight your role in overcoming challenges and how your contributions made a difference. This will show your potential employer that you can handle the demands of the job.
✨Communicate Clearly
Since you'll be collaborating with cross-functional teams, practice explaining technical concepts in simple terms. Good communication is key, so be ready to demonstrate your verbal and written skills during the interview.
✨Emphasise Your Iterative Approach
Talk about your experience with shipping early and often. Share how you gather customer feedback and iterate on products. This aligns perfectly with their focus on quality and usability, showing you're a great fit for their team.