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Founding Engineer at Nettle

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Jack & Jill/External ATS
Full Time position
Listed on 2026-05-25
Job specializations:
  • Software Development
    Software Engineer, AI Engineer, Cloud Engineer - Software, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Founding Engineer at nettle

Company

Description:

nettle - VC-backed Insurtech transforming commercial risk assessment.

Job Description:

Join nettle as employee #7 to revolutionize the trillion-dollar commercial insurance market using agentic AI. You will build and ship core AI features, lead enterprise deployments for global insurers, and shape the technical foundation of a fast‑growing startup backed by Project A and industry executives from Allianz and AXA.

Why this role is remarkable
  • Significant impact as a founding team member (Employee #7) working directly with ex‑McKinsey/Quantum Black founders to define the company’s engineering culture and technical roadmap.
  • High‑growth traction with active deployments and PoCs across global insurance giants in Europe, the US, and the Middle East, backed by top‑tier VC Project

    A.
  • Unique hybrid of deep technical ownership and client‑facing leadership, where you navigate complex enterprise infosec and IT environments while building cutting‑edge agentic AI workflows.
What you will do
  • Architect and ship full‑stack AI features and agentic workflows using Python, FastAPI/Django, and React to automate complex risk engineering processes.
  • Lead on‑premise enterprise deployments using Docker and manage technical relationships with client IT and infosec teams across multiple international regions.
  • Drive critical architectural decisions and establish high‑output development processes that scale the engineering team’s delivery capabilities by 10x.
The ideal candidate
  • 7+ years of software engineering experience with expert‑level Python skills and a proven track record of shipping products from scratch to real users.
  • Extensive experience with enterprise‑grade deployments, including hands‑on expertise with Docker, networking, and infrastructure debugging in production client environments.
  • Highly productive with modern AI development tools and LLM integrations, possessing the communication skills to represent the engineering team in high‑stakes customer meetings.
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