Harrington Starr
Artificial Intelligence Engineer

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AI Engineer | Generative AI | Python | LLMs
We're working with an organisation that's making a significant investment in AI, building intelligent products that are transforming the way people work. As part of a growing engineering team, you'll play a key role in designing and delivering production AI applications with real-world impact.
This is a hands-on opportunity for someone who enjoys taking ideas from concept through to deployment while working with the latest advancements in Generative AI.
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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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.
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.
The Role


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Your very own career expert that helps elevate your application to the next level.
- Build and deploy production-grade AI applications using modern LLMs.
- Design scalable AI solutions that solve complex business challenges.
- Evaluate and improve model performance through experimentation and testing.
- Work closely with users to iterate quickly and deliver high-quality products.
- Keep up to date with the latest developments across the AI ecosystem.
What We're Looking For
- Commercial experience building AI applications with LLMs.
- Strong Python engineering skills and experience shipping production code.
- Experience with RAG, prompt engineering, model evaluation or fine-tuning.
- Knowledge of modern front-end technologies is beneficial.
- Strong understanding of machine learning fundamentals.
- Degree in Computer Science, Mathematics or another quantitative discipline (or equivalent industry experience).
- Experience with cloud platforms and modern engineering practices is a plus.
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