AI Engineer
Role details
Job location
Tech stack
Job description
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., 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. Commercial experience shipping and maintaining production software is essential for this role - what matters most is that you've delivered real systems used by real users, and owned them through deployment, monitoring, and iteration. You're an exceptional technical problem solver, excited to apply that skill set 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 document understanding pipelines
- Champion quality and reuse across the product and the codebase - including evaluation, monitoring, and reliability patterns for AI systems.
- 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.
Requirements
Do you have experience in IT?, * You're AGI-pilled: you have real conviction about where AI is heading, and you're excited to build with frontier models in production (not just talk about them).
- You can demonstrate excellence in something - evidence you've reached a high bar (technical, academic, competitive, creative, or otherwise).
- You have a generalist mindset and enjoy working across boundaries (engineering, product, design, domain experts) to get to the best outcome.
- You have proven experience delivering large, complex software and/or AI systems.
- 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.
It would also be nice if you have:
- Prior experience with LLMs (OpenAI's GPT-5, 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.
Benefits & conditions
- Competitive starting salary
- 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.
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.