Gazelle Global
Generative AI Engineer

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Role Overview
We are building an enterprise-grade AI platform to enable secure, scalable and production-ready use of Generative AI and ML across the Customs Declaration Service.
The AI gen Engineer will translate architectural designs into working systems, implementing AI services that integrate cleanly into enterprise applications, workflows and SDLC processes.
This is a hands-on engineering role focused on productionisation. Location: Anywhere in the UK, with the option to attend the office when required.
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.
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.
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.
See breakdownIt 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.
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.
Key Skills
- Hands-on experience with LLM APIs
- Experience implementing production RAG or agent-based systems
- Strong API and integration skills
- Understanding of evaluation, hallucination mitigation and responsible AI
Key Responsibilities
The AI Engineer designs and implements AI-driven business capabilities using platform services. This role focuses on RAG, agent orchestration and domain-specific AI logic.


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Your very own career expert that helps elevate your application to the next level.
- Build RAG pipelines and knowledge retrieval workflows
- Design prompt strategies and guardrails within platform standards
- Configure agent workflows and orchestration patterns
- Collaborate with SMEs to refine domain behaviour
- Conduct structured evaluation and iterative improvement
- Contribute reusable patterns back to platform
“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.”
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