Join as the founding engineer building the core personal memory engine for AI. You will own the infrastructure end-to-end, creating a local-first, encrypted system that lets AI learn and compound context for users. This is a rare opportunity to rebuild an engine from the ground up and transition into a co-founder role at a high-growth startup.
Founding Engineer at VC-backed consumer AI startup
AI knows everything about the world, but nothing about the user. This stealth VC-backed startup is building the personal memory layer for AI, and they need a Founding Engineer to own the engine. With a package of £160k and up to 5% equity, you'll rebuild their core infrastructure from scratch, with a clear written path to a Co-founder title. If you’re a Go expert who obsesses over performance, privacy-first architecture, and shipping at lightning speed, this is your seat at the table. Join a team with a track record of scaling global consumer brands.
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Location
London, United Kingdom
Compensation
£160k + 1%-5% Equity
Company
Confidential company
Role overview
About the company
VC-backed consumer AI startup
What you will do
- Architect and build the 2.0 memory engine from scratch using Go for storage, enrichment, and retrieval.
- Design local-first, encrypted storage models to ensure user privacy is a core product feature.
- Optimize system performance for millisecond retrieval of complex, associative context under high real-world loads.
Who this is a fit for
- Extensive experience writing production-grade Go systems at scale with a focus on high-performance infrastructure.
- Deep expertise in embedded databases, vector/graph stores, and zero-knowledge cryptographic design.
- A “builder” mindset with a history of shipping entire systems in days rather than long sprints.
Why this role is remarkable
- Direct path to a Co-founder title and equity based on shipping milestones and performance.
- Backed by top-tier VCs with a founding team from high-profile consumer success stories.
- Ownership of a trillion-dollar category’s core infrastructure, building a privacy-first personal memory layer.
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