AI Engineer

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 utilize the bleeding-edge of generative AI, powered by the latest foundation LLMs including OpenAI’s GPT-4o and o1 along with Anthropic’s Claude models. Our early bet on agentic architectures using these models has placed 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 have many challenging problems on the path to building a powerful 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 organizations like Tesla and Marks & Spencer. Now in the early stages of an international expansion (USA in particular), 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 and insurance companies and VCs such as LocalGlobe, Seedcamp, JLL, First American Financial, and Investec, we’re on the lookout for exceptionally talented people to join us in shaping the future of property transactions with the rapid advancements in GenAI technology.

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

• 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 aSenior AI Engineerto 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 successful existing product helps real estate professionals extract key information and create reports from legal documents. We’re now evolving this product and developing new offerings to add even more value to our users.

At Orbital Witness, 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 LLMs, AI agents, and agentic architecture, and who wants to work at the forefront of AI technology in production use cases.

We are open to candidates from diverse backgrounds—whether in software engineering, ML engineering, or data science—who have transitioned into AI Engineering. While commercial experience in a company is a preference, it is not mandatory. What matters most is your demonstrated interest in the domain and hands-on experience using LLMs to solve technically complex problems.

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.
• Explore and implement advanced concepts such as multi-agent systems, retrieval-augmented generation (RAG), and agentic architectures.
• 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, 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.

• Competitive starting salary £100,000-£120,000
• 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 off-sites, 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.

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