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Founding AI Engineer

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Founding AI Engineer
I’m working with a well-funded, VC-backed AI start-up that is building production-grade AI agents to automate complex, real-world customer interactions.
They already have a growing customer base and strong commercial traction and are now investing heavily in the engineering team as they enter their next stage of growth.
What set's this opportunity apart is the founder is coming from a career in asset management in the exact domain the product is built for so they have a huge head start getting in front of key decision makers and deploying pilots.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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.
They’re looking for a Founding AI Engineer to join the core team in London.
You’ll be working across:
- Production AI agents and agentic workflows
- Python backend engineering
- LLM orchestration, tool calling and integrations
- Real-time and event-driven systems
- Reliability, observability and scalability
- Customer problems from initial idea through to production
You’ll have significant influence over the product, architecture and technical direction as the engineering organisation grows.
We’re particularly interested in engineers coming from high-growth start-ups or AI-native environments who are comfortable with ownership, ambiguity and moving quickly.


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The expectation here is for someone with a thread of high performance throughout their academic studies (quantitative subjects, Maths, Statistics, Physics, Computer Science, or Machine Learning from a top university ideally.) As well a real world experience deploying agentic solutions at scale.
£150k–£200k base + equity
London – predominantly office-based
If you've built AI systems that are being used by real customers in production, get in touch.
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