AI Engineer, Orbital

🔒 Confidential Employer
Posted 28 April 2026
LOCATION
London
TYPE
Full-time
LEVEL
Mid-Senior level
SALARY
£130,000 / year
CATEGORY
Artificial Intelligence
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Python GraphQL Prometheus Datadog ChatGPT LLMs AI agents Agentic architecture

FULL DESCRIPTION

AI Engineer, [Employer hidden — view at passion-project.co.uk]

Company: [Employer hidden]

Location: London

Salary: £50,000 - £130,000 per year

Work Type: Hybrid

Job Type: Full-time

Experience Level: Mid-Senior level

Posted: Open for applications

About the Role

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, [Employer hidden] 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 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.

Desirable

  • 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.

What the job involves

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.

  • 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.
  • 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.

Salary Benchmarks

Machine Learning Engineer

Mid: £50k - £130k

Company Information

Company Size: 21-100 employees

Industries: Property, B2B, Legal, Real Estate, SaaS

About Us: Legal reasoning requires smart and experienced law professionals, and collating information and data takes up their valuable time. That's why [Employer hidden] has used foundational AI models to build an assistant for law professionals. The company builds SaaS solutions that transform how property professionals work by leveraging cutting-edge Generative AI and LLM technologies. The company's products aggregate geospatial, property, and legal data from diverse sources to provide an unprecedented view of legal risk attached to properties. This provides real estate lawyers and property professionals with a one-stop-shop for property due diligence, allowing a vastly more transparent and efficient process whilst providing a better quality of service to clients. [Employer hidden]'s AI solutions are already used by thousands of lawyers and commercial property professionals across the UK and the US. It plans to grow its presence in the US and scale its team to achieve this objective. There is a huge opportunity to transform the way that property, the world's largest asset class, is transacted and bring it into the 21st century.

Benefits

  • Matched pension contributions and equity options
  • Flexible working hours and location; access to 30+ Boutique Workplace offices in the UK
  • 25 days paid holiday (plus bank holidays)
  • Professional equipment and a £1,000 p/a personal learning and development budget
  • Cycle-to-work scheme
  • All-company off-sites, Deliveroo Wednesdays and team socials
  • Generous parental leave and salary sacrifice nursery fee scheme through Yellownest
  • Extra day annual leave when you move house
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