Totum Partners
Applied AI Engineer

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Job Responsibilities
The Applied AI Engineer designs, builds and productionises AI-enabled solutions for legal and business services delivery.
- Design, build and maintain AI-enabled applications, automations, and internal tools using Python, cloud services, and enterprise platforms.
- Work with stakeholders to understand business problems, assess use cases, and translate requirements into practical technical designs.
- Build integrations between internal systems, enterprise platforms, external applications, and AI services.
- Design and implement multi-step AI workflows, including tool-using, agentic, and platform-native automations where appropriate.
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.
Skills Required
- Solid engineering experience utilizing Python, across applications, integrations, automations, or internal tools.
- Experience building or implementing AI/ML or LLM-enabled solutions in production or near-production settings.
- Experience working with APIs, SDKs, cloud services, and enterprise platforms.
- Practical understanding of prompt engineering, RAG, LLM workflows, or agentic patterns.
- Ability to interview stakeholders and translate ambiguous use cases into prototypes/technical designs.
- Experience with testing, debugging, documentation, Git, and maintaining reliable systems.
- Strong communication and problem-solving skills across technical and non-technical audiences.


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This role offers hybrid working - 1 day onsite weekly max.
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