Full-Stack Product Engineer – Equity for AI-Driven Defence in London

Full-Stack Product Engineer – Equity for AI-Driven Defence in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Own end-to-end features for AI-driven tools in defence.
  • Company: Allied, a forward-thinking tech company in London.
  • Benefits: Equity package, competitive salary, and a flat hierarchy.
  • Other info: Join a dynamic team focused on innovative solutions for government and military partners.
  • Why this job: Make a real impact with AI in defence while working autonomously.
  • Qualifications: 5-8 years of full-stack experience, proficient in TypeScript and React.

The predicted salary is between 60000 - 80000 Β£ per year.

Allied is seeking a Product Engineer in London to own end-to-end features for Allied OS and a manufacturing execution system.

You will work on an AI-native stack to deliver tools for government and military partners, within a flat hierarchy and autonomous environment.

You should have 5–8 years of full-stack experience, be highly proficient with Type Script and React, and show enthusiasm for AI-powered integrations in a defence context.

Equity is part of the package.

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Full-Stack Product Engineer – Equity for AI-Driven Defence in London employer: Jack & Jill

At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our team enjoys a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative environment that encourages creativity and growth. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technology and the chance to work with industry leaders in AI-driven marketing strategies.

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Contact Details:

Jack & Jill Recruitment Team

We think you need these skills to ace Full-Stack Product Engineer – Equity for AI-Driven Defence in London

Full-Stack Development
TypeScript
React
AI Integration
Manufacturing Execution Systems
End-to-End Feature Ownership
Autonomous Work Environment