Orbital

AI Engineer

Orbital

full-time

Posted on:

Location Type: Hybrid

Location: London • 🇬🇧 United Kingdom

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Job Level

Mid-LevelSenior

Tech Stack

Distributed SystemsGraphQLPrometheusPython

About the role

  • 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.

Requirements

  • 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.
  • 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.
Benefits
  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI engineeringPythonfull stack developmentbackend developmentAPIsdistributed systemsLLMsmulti-agent systemsretrieval-augmented generationagentic architectures
Soft skills
communicationcollaborationownershipiterationquality assurance