Albert Bow
Senior AI Engineer

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Senior AI Engineer | London, Onsite | Up to £150,000 + Equity
I’m working with a fast-growing, venture-backed AI company building software for major financial institutions. Their platform turns complex, manual workflows into AI-powered systems used across global teams.
They’re looking for an engineer who has shipped AI applications into production and wants to take ownership of the infrastructure behind them. You’ll work directly with the founders and build across AI agents, RAG pipelines, evaluation frameworks and the backend services that support them.
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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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.
What you’ll be doing:
- Designing and deploying agent-based systems and RAG pipelines
- Building reliable backend services and APIs, ideally with Python
- Developing evaluation and monitoring for AI features in production
- Working with data pipelines, relational databases, Redis and background workers
- Contributing across the stack where the product needs it
- Helping set engineering standards and mentoring less experienced developers
What they’re looking for:
- 5+ years in software engineering
- Hands-on experience deploying AI applications to production
- Strong backend engineering skills; Python, Django or FastAPI are especially relevant
- Experience with cloud infrastructure, Docker, Kubernetes and CI/CD
- A practical approach to performance, reliability and security


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This is a high-intensity, onsite role with shifting priorities and significant ownership. It will suit someone who enjoys building quickly, solving difficult problems and working closely with founders.
Interested? Send me a message and I’ll share more details.
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