AI Engineer in London

AI Engineer in London

London Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us in revolutionising real estate transactions with innovative AI-driven solutions.
  • Company: Orbital Copilot, a cutting-edge tech company transforming commercial real estate law.
  • Benefits: Enjoy competitive salary, flexible hours, 25 days holiday, and personal development budget.
  • Why this job: Make a real impact in the AI field while working on groundbreaking technology.
  • Qualifications: Background in software engineering with a passion for AI and LLMs.
  • Other info: Diverse and inclusive team culture with excellent career growth opportunities.

The predicted salary is between 36000 - 60000 ÂŁ per year.

We're on a mission to make real estate transactions smarter, faster, and friction‐free. Real estate is the world's largest asset class, yet the legal processes and tools behind it remain slow, manual, and underinvested. Lawyers must review dense documents line by line and piece together information across silos, all while clients demand faster, more transparent due diligence. That's where we come in. Orbital Copilot is the AI assistant built exclusively for commercial real estate law. Developed with former practicing real estate lawyers, it accelerates complex due diligence by up to 70% while delivering legal‐grade precision.

We're trusted by leading firms like Goodwin, BCLP, and Ropes & Gray to remove the busywork so legal teams can focus on what they do best: applying sharp legal judgment, delivering standout client service, and getting deals over the line faster. Working at Orbital means joining a team that's reimagining how real estate transactions get done - moving fast, working collaboratively, and giving people the ownership to make a real impact from day one.

Role Overview: We are seeking AI Engineers, ranging from mid level to senior to join our team as we build and scale innovative AI‐driven products that bring much‐needed transparency to the home‐buying process and transform the way property is transacted. 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. We're now evolving this product and developing new offerings to add even more value to our users.

At Orbital, we leverage the most intelligent, bleeding‐edge models from leading AI labs like OpenAI, Google, Gemini and Anthropic. This is an exciting opportunity for someone who is passionate about LLMs, AI agents, and agentic architecture, and who wants to work at the forefront of AI technology in production use cases.

We are looking for Software Engineers who have transitioned into AI Engineering, or who have an interest in making that transition where you will be working on our cutting edge AI agent, Orbital Copilot. While commercial experience in a company is a preference, it is not mandatory. What matters most is you're an exceptional technical problem solver, interested in applying that skill set when using LLMs and agentic principles.

You’ll own the end-to-end design and development of AI‐driven features and systems, working alongside a dynamic and 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. Supported by a cross‐functional team, you will deliver impactful solutions initially to lawyers and then to a broader B2B customer base.

You’ll get a chance to:

  • 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 (AI Engineers, AI product managers, VP of AI, real estate legal domain experts and software engineers) to define user stories, rapidly experiment, and ship new features directly to customers to use.
  • Explore and implement advanced concepts such as multi‐agent systems, retrieval‐augmented generation (RAG), agentic architectures and next generation OCR pipelines.
  • Champion quality and reuse across the product and the codebase.
  • Work across the business to ensure the features you develop have a real impact on customers and move key business metrics as we design and build a brand‐new product that doesn’t yet exist in the market.
  • Participate in architecture and code reviews to continuously improve the quality, maintainability, security, and scalability of our applications.

You should apply if:

  • You have a background in software engineering and have made the transition into AI Engineering, or are motivated to make that transition.
  • You are excited about the potential of LLMs, AI agents, and agentic architectures.
  • You have in depth experience with full stack or backend Python development.
  • 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 have proven experience delivering large, complex software engineering systems.

It would also be nice if you have:

  • Prior experience with LLMs (OpenAI's GPT‐5, o1, and Claude models from Anthropic) or agentic systems.
  • Any Frontend experience.
  • Proven expertise in building highly secure, fault‐tolerant APIs.
  • Experience building high‐performance, distributed systems at scale.
  • A strong understanding of modern dev practices like 12 Factor, CI/CD, and observability tools such as Datadog or Prometheus.
  • Exposure to GraphQL APIs and WebSockets for real‐time interactions.

Benefits:

  • Competitive starting salary
  • Matched pension contributions
  • Flexible working hours and location
  • 25 days paid holiday (plus bank holidays)
  • Professional equipment and personal development budget along with training opportunities to learn and develop your skills
  • Cycle‐to‐work scheme
  • An inclusive community enjoying all‐company off‐sites, lunches and socials

Security is everyone's responsibility at Orbital. We ask all team members to follow our security policies, complete regular awareness training, and handle sensitive data with care in line with ISO 27001 standards. Spot something unusual? Reporting risks or incidents quickly helps us maintain the strong culture of security and compliance we all depend on.

At Orbital, we're committed to building a diverse and inclusive team. We especially welcome applications from people who are traditionally underrepresented in tech. Even if you don't meet every single requirement, or if the right role isn't listed yet, we'd still love to hear from you.

AI Engineer in London employer: Orbital Witness Limited

At Orbital, we pride ourselves on being an innovative employer that empowers our AI Engineers to make a significant impact in the fast-evolving world of commercial real estate law. With a strong focus on collaboration, professional development, and a flexible work culture, we offer competitive salaries, generous holiday allowances, and opportunities to work with cutting-edge AI technologies. Join us in transforming the way real estate transactions are conducted while enjoying a supportive and inclusive environment that values diversity and encourages growth.
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Contact Detail:

Orbital Witness Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Engineer 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. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects. This gives you a chance to demonstrate your expertise and passion for AI Engineering, making you stand out to employers.

✨Tip Number 3

Prepare for interviews by brushing up on common AI concepts and coding challenges. Practice explaining your thought process clearly, as communication is key in collaborative environments like ours at Orbital.

✨Tip Number 4

Don’t just apply anywhere; focus on companies that excite you, like us at Orbital! Tailor your approach and show genuine interest in how you can contribute to our mission of transforming real estate transactions.

We think you need these skills to ace AI Engineer in London

AI Engineering
Software Engineering
Python Development
LLMs (Large Language Models)
Agentic Architectures
Multi-Agent Systems
Retrieval-Augmented Generation (RAG)
OCR Pipelines
API Development
Distributed Systems
CI/CD Practices
Observability Tools (e.g., Datadog, Prometheus)
GraphQL APIs
WebSockets
Communication Skills

Some tips for your application 🫡

Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and LLMs shine through. We want to see that you're genuinely excited about the technology and how it can transform real estate transactions.

Tailor Your Experience: Make sure to highlight any relevant experience you have in software engineering or AI. Even if you’re transitioning into AI Engineering, share projects or skills that demonstrate your problem-solving abilities and technical expertise.

Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your achievements and how they relate to the role. We appreciate a well-structured application that’s easy to read!

Apply Through Our Website: Don’t forget 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 shows you’re keen on joining our team at Orbital.

How to prepare for a job interview at Orbital Witness Limited

✨Know Your AI Stuff

Make sure you brush up on the latest trends in AI, especially around LLMs and agentic architectures. Be ready to discuss how these technologies can be applied in real estate transactions and how they can improve due diligence processes.

✨Showcase Your Problem-Solving Skills

Prepare examples of complex problems you've solved in your previous roles, particularly those involving software engineering and AI. Highlight your thought process and the impact of your solutions, as this will demonstrate your technical prowess and ability to think critically.

✨Understand the Business Impact

Familiarise yourself with how AI can transform the real estate sector. Be prepared to discuss how your work can directly affect business metrics and customer satisfaction, showing that you understand the bigger picture beyond just coding.

✨Collaborate and Communicate

Since you'll be working with cross-functional teams, practice articulating your ideas clearly and concisely. Think about how you can effectively collaborate with AI product managers and legal experts, and be ready to share your thoughts on teamwork and communication strategies.

AI Engineer in London
Orbital Witness Limited
Location: London

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