Founding Senior Full-Stack Engineer – Agentic AI in London

Founding Senior Full-Stack Engineer – Agentic AI in London

London Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Architect a real-time, multiplayer agent system and own end-to-end development.
  • Company: Join a stealth-stage AI startup in London or San Francisco.
  • Benefits: Competitive salary, flexible work environment, and opportunities for innovation.
  • Other info: Dynamic startup culture with potential for rapid career growth.
  • Why this job: Be a founding engineer and shape the future of AI technology.
  • Qualifications: Experience in full-stack development and strong problem-solving skills.

The predicted salary is between 70000 - 90000 Β£ per year.

Jack & Jill is seeking a founding Senior Full-Stack Engineer to join a stealth-stage AI startup in London or San Francisco.

You will architect a real-time, multiplayer agent system that coordinates work across teams, bridging LLM workflows with high-performance front-end engineering.

You will own end-to-end development, integrate with Slack, Notion, and Linear, and optimize front-end performance while scaling backend graphs and AI processes.

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Founding Senior Full-Stack Engineer – Agentic AI 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 Founding Senior Full-Stack Engineer – Agentic AI in London

Full-Stack Development
Real-Time Systems Architecture
Multiplayer System Design
Integration with Slack
Integration with Notion
Integration with Linear
Front-End Performance Optimisation