Senior 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 utilise the bleeding-edge of generative AI. Products that are powered by the latest foundation LLM’s 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 organisations 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, insurance companies and VC’s 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 AI 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 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 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. 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, 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-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; 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, 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. #J-18808-Ljbffr