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Product engineer (up to £200k + equity) at $22m series a ai learning startup

London
Jack & Jill
Product engineer
€175,000 a year
Posted: 18 May
Offer description

Job Title

Product Engineer (AI-focused)


Salary

Up to £200k + Equity


Company Description

$22M Series A London AI learning startup backed by top-tier investors


Location

London, UK


Job Description

You will lead the development of production-grade AI systems for a platform serving 1.7 million monthly active users. Reporting to the CEO, you will ship features like automated marking and agentic workflows using TypeScript. This is a high-impact role focused on building the core intelligence behind a rapidly scaling global learning product.


Why this role is remarkable

* Join one of the UK’s fastest-growing startups with $5M ARR and a mission to help 1 billion people learn through gamified AI education.
* Work directly with a founding team of Cambridge graduates and former Amazon/Google leaders in a high-autonomy, low-process environment.
* Access a generous compensation package including a salary up to £200k and meaningful equity in a recently funded Series A company.


What You Will Do

* Design and ship end-to-end AI features in TypeScript, including study material generation, automated marking, and structured content ingestion.
* Architect and iterate on sophisticated agentic prompt workflows and multi-step model pipelines using GPT-4, Claude, and Gemini.
* Build internal evaluation frameworks and tooling to systematically measure and improve AI output quality, correctness, and system reliability.


The ideal candidate

* Offers 7-8+ years of software engineering experience with deep expertise in TypeScript and a proven track record of shipping user-facing products.
* Demonstrates practical experience deploying LLMs in production, including prompt engineering, model evaluation, or an academic background in ML/AI.
* Thrives in early-stage environments, possessing strong product instincts and the ability to solve complex technical challenges with minimal supervision.
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