Job Description
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 of Generative AI. Products that are powered by the latest foundation LLM's (Large Language Models) including OpenAI's GPT-4o and o1 along with Anthropic's Claude models. 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 in the UK 🇬🇧 across a diverse spectrum of blue-chip firms, 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.
Bolstered by the support of industry giants, including some of the world's largest real estate, insurance companies and VC's such as LocalGlobe, Seedcamp, JLL, First American Financial, and Investec and on the back of our recent £7.5 million Series A funding round led by Parker89 🎉 , we're on the lookout for exceptionally talented people to join us in shaping the future of property transactions under this new evolution of technological advancement.
Our vision 🏆
We believe that property transactions in this century shouldn't still rely on busy lawyers checking through documents and writing reports. We're building an automated AI solution for property diligence to make transactions more efficient and transparent for everyone.
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 🐸
- We are Bold & Ambitious ⚡ (changing an entire industry is hard!)
- We give Power to our People 💪 (we give exceptional people autonomy to succeed)
- We Question or Commit 🙋 ****(we welcome debate, but love reaching quick decisions)
- ... and we Eat that Frog! 🐸 (we take on the hardest thing first)
Role Overview 🔎
We are seeking a
Junior-Mid Level AI Engineer to join our team as we develop and scale innovative AI-driven products that bring much-needed efficiency to the world of Real Estate law and transform the way property is transacted. Our successful existing products helps real estate professionals extract key information and generate reports from legal documents. As we evolve this product and build new AI-powered offerings, we're looking for someone eager to contribute and grow in a cutting-edge AI environment.
At Orbital, we leverage the latest advancements in large language models (LLMs), including OpenAI's GPT-4o, o1, and Claude models from Anthropic. This is an exciting opportunity for someone who is passionate about applied AI, LLMs, and AI-driven automation, and who wants to gain hands-on experience working on real-world production use cases.
We welcome candidates from diverse backgrounds—whether in software engineering, ML engineering, or data science—who have begun transitioning into AI Engineering. While commercial experience is a plus, what's most important is your demonstrated interest in AI and your willingness to learn, experiment, and solve problems using LLMs.
In this role, you'll collaborate closely with experienced AI Engineers to build and enhance AI-driven features. You'll gain exposure to the full development lifecycle, including research, prototyping, implementation, and continuous improvement. With the support of a cross-functional team, you'll contribute to impactful solutions for lawyers and a broader B2B customer base, helping shape the future of AI in the property sector.
You'll get a chance to: 👩💻 👨💻
- Work alongside and learn from industry leading talent in Engineering, AI, Product and Legal
- Take ownership of key technology decisions and lay the groundwork for the company's ambitious growth plans
- Develop, test, refactor, deploy, maintain and support production software
- Collaborate with a cross functional team (an AI product manager, VP of AI, legal domain experts, data scientists and software engineers) to define user stories, quickly experiment and ship new features along with implementing both functional and non-functional requirements
- Champion quality and reuse across the product and the codebase
- Collaborate with individuals across the business to ensure the features you develop have real business impact for customers and actually 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
- Ensure compliance with security policies and ISO 27001 by protecting sensitive data and following secure coding practices to prevent breaches, injection, and unauthorised access
Requirements You should apply if: ✍️- You have a background in software engineering, ML engineering, or data science and have transitioned into AI Engineering
- You are excited about the potential of LLMs, AI agents, and agentic architectures
- You have demonstrated experience using LLMs and can showcase projects or initiatives that highlight your keen interest in the domain
- You have experience with 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: - Hands-on experience with OpenAI's GPT-4o, o1, and Claude models from Anthropic
- Familiarity with vector databases (e.g., Pinecone, Weaviate, or similar)
- Experience building applications with Docker and Kubernetes
- 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 £70,000-£80,000, matched pension contributions and equity options in a fast growing start-up
- Flexible working hours and location; should you choose to work from home or need a change of scenery for a few days you will have access to 40+ TOG offices in London and even more around the world
- 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 offsites, lunches and socials
💡
We value diversity at Orbital Witness, 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.
Job Tags
Holiday work, Full time, Work from home, Flexible hours, Shift work,