AI Technologist / Engineer (£127k) at Cubitts

Job Title

AI Technologist / Engineer

Salary

£127,000

Company Description

Cubitts is a vertically integrated London‑based spectacle maker with 13 stores, an e‑commerce platform, and its own glazing lab and workshop. Based in King’s Cross, the company serves over 350,000 customers and is now building a dedicated “Skunk Works” team to revolutionize optics through internal AI engineering and automation.

Job Description

Join a lean Skunk Works team to transform how Cubitts operates across its entire supply chain and retail footprint. You will build AI‑powered tools, agents, and automations that solve real‑world problems for 350,000 customers. This is a high‑ownership role where you move fast, turning prototypes into production‑ready internal applications and workflows.

Location

London, UK

Why this role is remarkable

• High‑impact greenfield opportunity as one of the first technical hires in a newly formed internal AI and engineering function reporting directly to the business.
• Rare access to a complete vertical stack “test bed,” including physical stores, eye tests, product design, and a complex global supply chain.
• Fast‑paced shipping culture where you will move from prototype to production in weeks, seeing your tools used immediately by teams and customers.

What You Will Do

• Build and deploy AI‑powered agents, recommendation engines, and automation layers using LLMs, retrieval‑augmented generation, and prompt engineering.
• Connect disparate internal systems via APIs and data pipelines to streamline customer order tracking, financial reporting, and inventory forecasting.
• Prototype rapidly and work alongside a Product Manager and Data Scientist to turn messy operational requirements into usable internal tools.

The ideal candidate

• Proven builder mindset with professional experience in software engineering using Python, JavaScript/TypeScript, and SQL to ship production‑ready applications.
• Deep technical familiarity with APIs, databases, and AI orchestration tools, with a track record of building tools in scrappy or ambiguous environments.
• Practical, low‑ego approach with the ability to navigate complex business operations like retail or supply chain without waiting for perfect conditions.

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