AI Technologist / Engineer at vertically integrated D2C eyewear innovator

Company: Jack & Jill
Apply for the AI Technologist / Engineer at vertically integrated D2C eyewear innovator
Location: London
Job Description:

AI Technologist / Engineer

Salary: Not Disclosed

Company Description

Direct-to-consumer eyewear innovator with 350,000+ customers and vertically integrated operations across retail, diagnostics, and manufacturing.

Job Description

Join a high‑velocity Skunk Works team as the primary builder transforming a complex, vertically integrated retail business. You will develop AI‑powered tools, internal applications, and automated workflows that optimize everything from eye tests and product design to global supply chains, turning a rare physical‑to‑digital test bed into a blueprint for the future of optics.

Location

London, UK

Why this role is remarkable

  • Rare access to a complete business ecosystem including stores, eye clinics, ecommerce, glazing labs, and workshops to test and deploy your builds in real‑time.
  • High‑autonomy “Skunk Works” environment where you work directly from customer problems to functional products without the friction of large‑company bureaucracy.
  • The opportunity to scale internal wins into industry‑wide tools, fundamentally changing how a legacy sector operates through LLMs and automation.

What You Will Do

  • Build and deploy AI‑powered agents, retrieval‑augmented generation systems, and internal tools that streamline store operations and customer experiences.
  • Connect disparate internal systems via APIs and data pipelines to create proactive communication tools and automated finance reporting.
  • Prototype rapidly with the Product Manager and Data Scientist to turn messy, real‑world operational challenges into scalable, production‑ready software.

The ideal candidate

  • A hands‑on builder with proven experience in Python, JavaScript/TypeScript, and SQL, capable of turning prototypes into usable tools quickly.
  • Technically proficient in implementing LLMs, prompt engineering, and automation layers within retail, ecommerce, or supply chain environments.
  • A fast‑moving, low‑ego engineer who thrives in ambiguity and has a track record of building impactful software in small, high‑growth teams.

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Posted: June 2nd, 2026