At a Glance
- Tasks: Join us as a Senior AI Engineer to innovate AI-driven products for property transactions.
- Company: Orbital is an AI company revolutionising the legal aspects of property transactions globally.
- Benefits: Enjoy a competitive salary, flexible working, 25 days holiday, and personal development budget.
- Why this job: Be at the forefront of AI technology, transforming the real estate industry with impactful solutions.
- Qualifications: Background in software engineering with a passion for AI; experience with Python preferred.
- Other info: We value diversity and encourage applications from underrepresented groups in tech.
The predicted salary is between 86000 - 104000 £ per year.
About us
We are Orbital, an AI company on a mission to automate the legal segment of every property transaction in the world. We iterate rapidly to build products that utilise the bleeding-edge AI models powered by the latest frontier models including OpenAI’s GPT-4.1, o3 and o4-mini along with others from Anthropic and Google Gemini. This places us at the forefront of the most advanced technological advancements of our generation.
We’re spearheading an unprecedented shift in how the world’s #1 asset class is transacted globally. Legal reasoning is a hard problem and requires some of the smartest and most experienced professionals to solve legal challenges for their clients. Because of this, we will continue to push ahead and use the most intelligent and the fastest foundational models to build an AI Assistant that can provide accurate, efficient, and reliable support to legal professionals in the world of real estate.
Already the trusted ally of thousands of lawyers and commercial property professionals across the UK and US, our innovative solutions have earned accolades from the UK's magic circle law firms—Clifford Chance, Linklaters, Allen & Overy, Freshfields, and Slaughter & May—as well as renowned organisations like Tesla and Marks & Spencer. Now in the early stages of an international expansion, we’re continuing to expand our talented team to support our growth.
Our vision
We’re building an AI assistant with the expertise of a high-performing real estate associate at a law firm. We believe property deals in the 21st century shouldn’t hinge on overworked lawyers sifting through paperwork and drafting reports. It’s time for smarter, faster, tech-driven transactions.
Our mission
Our mission is to help any professional or individual involved in a property transaction to properly understand what they are getting into, from the outset, before incurring legal fees.
Our values
- Bold & Ambitious (changing an entire industry is hard!)
- Power to our People (we give exceptional people autonomy to succeed)
- Question or Commit (we welcome debate, but love reaching quick decisions)
- Eat that Frog! (we take on the hardest thing first)
Role Overview
We are seeking a Senior AI Engineer 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.
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, legal domain experts and software engineers) 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 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.
- 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-4o, o1, and Claude models from Anthropic) or agentic systems.
- Prior experience with data science / ML / NLP.
- 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.
As part of our commitment to information security, all employees are expected to adhere to company security policies and procedures, participate in mandatory security awareness training, and ensure the secure handling of sensitive data in line with ISO 27001 standards. Reporting potential risks or incidents is a key part of fostering our culture of security and compliance.
Benefits:
- Competitive starting salary £100,000-£120,000
- 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 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
We value diversity at Orbital, and would particularly encourage applications from those who are traditionally underrepresented in tech. We’d love to hear from you even if you don’t match all of the above criteria or are seeking other opportunities that we’re not currently advertising.
Senior AI Engineer employer: Orbital
Contact Detail:
Orbital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Familiarise yourself with the latest AI models and technologies mentioned in the job description, such as OpenAI’s GPT-4 and Anthropic's Claude. Being able to discuss these technologies intelligently during your interview will demonstrate your passion and knowledge in the field.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of complex software engineering challenges you've tackled in the past. Highlight how you approached these problems and the impact your solutions had on the project or team.
✨Tip Number 3
Engage with the legal tech community online. Follow relevant discussions on platforms like LinkedIn or Twitter, and participate in forums where AI in legal contexts is discussed. This will not only expand your network but also give you insights into industry trends that could be beneficial during interviews.
✨Tip Number 4
Prepare to discuss your experience with collaborative projects, especially those involving cross-functional teams. Orbital values teamwork, so demonstrating your ability to work effectively with diverse groups will make you a more attractive candidate.
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI engineering, particularly with LLMs and agentic architectures. Use specific examples of projects you've worked on that align with Orbital's mission to automate property transactions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI technology and how it can transform the legal sector. Mention your understanding of the challenges faced in property transactions and how your skills can contribute to solving these issues at Orbital.
Showcase Technical Skills: Clearly outline your technical skills, especially in Python development and any experience with LLMs or AI systems. Provide examples of how you've applied these skills in previous roles or projects to demonstrate your capability.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, emphasise your experience in collaborative environments. Share instances where you successfully worked with diverse teams to deliver impactful solutions, showcasing your communication skills.
How to prepare for a job interview at Orbital
✨Understand the Company’s Mission
Before your interview, make sure you fully grasp Orbital's mission to automate the legal segment of property transactions. Familiarise yourself with their innovative AI products and how they aim to transform the real estate industry.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with LLMs, Python development, and any relevant AI technologies. Highlight specific projects where you've successfully implemented AI solutions, as this will demonstrate your capability to contribute to their cutting-edge work.
✨Emphasise Collaboration
Orbital values teamwork, so be ready to talk about your experience working in cross-functional teams. Share examples of how you've collaborated with product managers, engineers, or domain experts to deliver impactful solutions.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving scenarios during the interview. Practice articulating your thought process clearly and logically, as this will showcase your analytical skills and ability to tackle complex challenges in AI engineering.