AI Engineer

Company: Orbital
Apply for the AI Engineer
Location: London
Job Description:

About the Role

We are seeking AI Engineers across all experience levels to join our team as we build and scale innovative AI‑driven products that make commercial real estate transactions smarter, faster, and friction‑free. 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.

As an AI Engineer, you will own the end‑to‑end design and development of AI‑driven features and systems, working alongside a dynamic, 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, delivering solutions to lawyers and a broader B2B customer base.

Responsibilities

  • 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 to define user stories, rapidly experiment, and ship new features directly to customers.
  • 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.
  • Participate in architecture and code reviews to continuously improve the quality, maintainability, security, and scalability of our applications.

Qualifications

  • You have proven experience delivering large, complex software and/or AI systems.
  • 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 achieve the best outcome.
  • 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 are AGI‑pilled: you have real conviction about where AI is heading, and you’re excited to build with frontier models in production.
  • Prior experience with LLMs (OpenAI’s GPT‑5, Claude models, etc.) or agentic systems is a plus.
  • Any frontend experience is a plus.
  • Proven expertise in building highly secure, fault‑tolerant APIs is a plus.
  • Experience building high‑performance, distributed systems at scale is a plus.
  • Strong understanding of modern dev practices like 12‑Factor, CI/CD, and observability tools such as Datadog or Prometheus is a plus.
  • Exposure to GraphQL APIs and WebSockets for real‑time interactions is a plus.

Benefits

  • 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 a personal development budget with training opportunities
  • Cycle‑to‑work scheme
  • An inclusive community enjoying all‑company off‑sites, lunches and socials

We value diversity at Orbital and encourage applications from those who are traditionally underrepresented in tech. Even if you do not meet every criterion, we would love to hear from you.

At Orbital, we are committed to building a diverse and inclusive team. If you are passionate about building AI in production and want to help transform commercial real estate, we want to hear from you.

Base pay is determined based on experience and business requirements. Pay is a reasonable estimate for this position at the time of posting.

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Posted: May 26th, 2026