AI Engineer

🚀 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 and BCLP 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.

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.

• 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.

💰 This hiring range is a reasonable estimate of the base pay range for this position at the time of posting. Pay is based on several factors, which may include job-related knowledge, skills, experience, and business requirements.