Founding Engineer & Technical Co-Founder (Equity) in London

Founding Engineer & Technical Co-Founder (Equity) in London

London Full-Time 80000 - 98000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Co-found and design scalable AI systems for innovative infrastructure planning.
  • Company: Join Infraview, a pioneering tech startup with a focus on NLP and RAG systems.
  • Benefits: Equity stake, ownership of technology direction, and a chance to shape the future.
  • Other info: Exciting opportunity for career growth in a dynamic startup environment.
  • Why this job: Be a key player in building cutting-edge AI solutions that integrate with major platforms.
  • Qualifications: Experience in AI systems and a passion for innovative technology.

The predicted salary is between 80000 - 98000 £ per year.

Infraview is seeking a Founding Engineer to co‑found the product and architecture, building core NLP and RAG systems for infrastructure‑planning documents.

The role includes an equal equity stake and ownership over technology direction from day one.

You will design scalable AI systems, ensure security and auditability for large clients, and drive the end‑to‑end product strategy toward a market‑ready platform that integrates with Microsoft 365 and Google Workspace.

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Founding Engineer & Technical Co-Founder (Equity) 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 Engineer & Technical Co-Founder (Equity) in London

NLP (Natural Language Processing)
RAG (Retrieval-Augmented Generation)
AI System Design
Scalability
Security
Auditability
Product Strategy