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AI Engineer + Equity at Gizmo.ai

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Jack & Jill
Full Time position
Listed on 2026-06-09
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 170000 GBP Yearly GBP 170000.00 YEAR
Job Description & How to Apply Below
Position: AI Engineer (£170k + Equity) at Gizmo.ai
Location: Greater London

AI Engineer

Salary: £170k + Equity

Company

Description:

Gizmo.ai - Series A edtech startup backed by $22M in funding

Job Description: Join one of the UK's fastest-growing startups to build the "Duolingo for anything." Reporting directly to the CEO, you will leverage generative AI and cognitive science to transform passive learning into interactive, gamified experiences. You'll play a central role in shipping production-ready LLM features to over 1.5 million monthly active users.

Location: London, UK

Why this role is remarkable:
  • Massive traction with 1.5M monthly active users and $5M ARR, scaling rapidly following a $22M Series A funding round
  • High-impact, early-stage opportunity where you report directly to the CEO and shape the product architecture for millions of global learners
  • Work at the cutting edge of AI implementation, moving beyond research to deploy production-grade LLM systems using Gemini, GPT-5, and Claude
What you will do:
  • Design and ship production AI features using advanced prompt engineering and the latest models like Gemini and GPT-5
  • Build and maintain robust evaluation frameworks to systematically assess and improve the performance and grounding of AI systems
  • Integrate complex AI models into a high-performance Type Script production environment, owning features from initial design through to deployment
The ideal candidate:
  • Senior software engineer with 7+ years of experience and deep technical proficiency in Type Script and backend systems
  • Practical expertise in AI/LLM implementation, including production work with APIs, model evaluation, or a strong academic ML background
  • Proven startup veteran or ex-founder who thrives in high-autonomy environments and prioritizes shipping impactful code over rigid corporate processes
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