X4 Engineering
Founding AI Engineer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Job Opportunity at a Rapidly Scaling AI Technology Company
An early-stage AI technology company is scaling rapidly after securing major enterprise customers and is looking for exceptional engineers to join its growing team.
This is an opportunity to join at a genuinely early stage and work directly on products being deployed by some of the world's largest technology companies.
The Role
The company is looking for highly capable, generalist AI/Software Engineers who can take ownership of difficult problems and move quickly from idea to production.
You will work closely with the founding and engineering teams across areas including:
- AI product development and engineering
- Backend and full-stack development
- System architecture and infrastructure
- Rapid prototyping and product iteration
- Building solutions for enterprise customers
- Technical problem-solving in highly ambiguous environments
The current stack includes Python, React, and TypeScript, although experience with these technologies is not essential. The priority is exceptional engineering ability rather than a perfect technology or job-title match.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What They're Looking For
The hiring bar is extremely high. Strong candidates are likely to have:
- Outstanding software engineering fundamentals.
- A track record of building technically challenging products or systems.
- Exceptional ownership and problem-solving ability.
- Experience working in an early-stage or high-growth environment.
- A strong bias towards action and shipping.
- The ability to operate independently with limited structure.
- Genuine interest in AI and emerging technology.
Candidates may come from leading technology companies, high-growth startups, or founder-led environments. Experience at companies such as Meta, Amazon, Ramp, Linear, Cursor, Palantir, or similar would be relevant, but exceptional candidates from other backgrounds will be considered.
The Environment
This is an extremely ambitious, high-intensity environment.
The current expectation is approximately six days per week in the London office, with a typical working pattern around 9am–9pm. There can also be periods where the team works beyond this level due to customer and product demands.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
This is therefore best suited to someone who actively wants to operate at a very high pace and have an unusually large amount of responsibility early in their career.
Package
- £100,000–£150,000 base salary
- Meaningful equity
- Potential annual bonus
- Lunch and dinner provided
- Gym membership
- Weekly team sports and team meals
- UK relocation and visa support where required
Why Consider It?
You would be joining before the company transitions into a much larger scale-up, giving you the opportunity to:
- Work on AI products already being used by major enterprises.
- Take ownership well beyond a conventional engineering role.
- Work directly alongside the founding and senior engineering team.
- Help shape the technology and engineering culture.
- Have significant influence over the company's next stage of growth.
- Participate meaningfully in the upside of an early-stage company.
For exceptional engineers who want to build, move fast, and take significant ownership, this is a rare opportunity to join a company at a highly formative stage.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location