Founding Engineer x 2
CV-LibraryLondonpermanentPosted: 30 March 2026
Apply NowFounding Engineer (AI / Data / Infrastructure)
London (in-office) | £(Apply online only)k + equity
Most engineering roles optimise for comfort.
This one doesn't.
No legacy systems.
No endless backlog grooming.
No "just ship the ticket."
This is a true 0 → 1 build.
You'll join a well-funded early-stage company working across AI, data, and complex systems - building production-grade platforms from first principles.
From day one, you'll shape:
The product
The architecture
How engineering is done
What you'll do
This isn't a narrow role.
You'll go deep in one area (AI, Data, or Infrastructure) while operating across the stack:
Build and deploy AI systems in production
Design data pipelines and transformation layers
Architect scalable, multi-tenant systems
Own problems end-to-end - from idea → live product
Who this is for
Engineers who get bored maintaining existing systems
People who prefer ambiguity over rigid specs
Builders who have actually shipped things
Engineers using AI tools to move faster, not slower
Those who want real ownership, not just responsibility
Why this role
Small team, high impact
Direct exposure to users and decision-making
Systems being built to scale - not patched later
Engineering drives the company, not the other way around
Package
£100k-£130k base (flexible for exceptional candidates)
Meaningful early equity
In-person, high-trust environment
High expectations, high autonomyIf you're looking for comfort, this isn't it.
If you want to build from zero and own what you build…
Let's talk
London (in-office) | £(Apply online only)k + equity
Most engineering roles optimise for comfort.
This one doesn't.
No legacy systems.
No endless backlog grooming.
No "just ship the ticket."
This is a true 0 → 1 build.
You'll join a well-funded early-stage company working across AI, data, and complex systems - building production-grade platforms from first principles.
From day one, you'll shape:
The product
The architecture
How engineering is done
What you'll do
This isn't a narrow role.
You'll go deep in one area (AI, Data, or Infrastructure) while operating across the stack:
Build and deploy AI systems in production
Design data pipelines and transformation layers
Architect scalable, multi-tenant systems
Own problems end-to-end - from idea → live product
Who this is for
Engineers who get bored maintaining existing systems
People who prefer ambiguity over rigid specs
Builders who have actually shipped things
Engineers using AI tools to move faster, not slower
Those who want real ownership, not just responsibility
Why this role
Small team, high impact
Direct exposure to users and decision-making
Systems being built to scale - not patched later
Engineering drives the company, not the other way around
Package
£100k-£130k base (flexible for exceptional candidates)
Meaningful early equity
In-person, high-trust environment
High expectations, high autonomyIf you're looking for comfort, this isn't it.
If you want to build from zero and own what you build…
Let's talk