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DTG Global

Senior AI Automation Engineer

London
Posted about 13 hours ago
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Job Opportunity: Senior AI Engineer

A large national professional services firm is building a specialist AI engineering capability inside its technology function, and is looking for a senior engineer to help lead the build.

This is a hands-on role. The team designs and ships AI agents and automated workflows that go into live use across the business, so the work is production engineering rather than proof of concept. You would be one of the more experienced engineers in a small team, setting the technical standards, leading design and code reviews, and bringing on the less experienced engineers alongside your own delivery.

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It 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.

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Strong

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.

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Strong

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.

Responsibilities

  • Design and implement AI agents and automated workflows
  • Set technical standards and lead design and code reviews
  • Mentor and guide less experienced engineers
  • Ensure deployment, reliability, and observability

Required Skills and Experience

  • Strong Python engineering: Including API design, async work, testing, and modular code
  • Production experience: Taking LLM or agent-based systems into production, not just prototypes
  • Understanding of agent patterns: Orchestration and limitations of LLMs
  • Azure experience: Across AI services, Functions, and containers
  • Deployment and reliability: Comfortable owning deployment, reliability, and observability
  • Fast-paced environment: Ability to work quickly in a fast-moving area without dropping engineering discipline

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Preferred Skills and Experience

  • Experience in a regulated or financial environment
  • Knowledge of prompt evaluation, versioning, or AI governance

If this sounds like the right move, apply to discuss in more detail.

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Skills

Python
Azure AI
Copilot Studio
REST
GraphQL
CI/CD
Containerisation
LLM Production
Agent Orchestration
API Design
Async Programming
Observability
Prompt Evaluation
AI Governance
Modular Code
Technical Leadership

Location

London, England, United Kingdom

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