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Datatech Analytics

Agentic AI / GenAI Consultant | From Prototype to Production

Manchester
Posted about 23 hours ago
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Agentic AI / GenAI Consultant | From Prototype to Production.

Location: Manchester | Glasgow | London
Salary: Competitive dependent on experience
Ref: J13190

An established transformation consultancy is growing its AI engineering team. They’re looking for someone who can work with clients to turn promising AI ideas into secure applications that people can use in production.

You’ll be involved from the first conversations and prototypes through to building, testing and deploying solutions. The work spans traditional machine learning, Generative AI and agentic workflows, alongside data scientists, cloud architects, product managers and business consultants.

What you’ll be doing:

  • Building full-stack GenAI and agentic applications
  • Designing workflows with human review, audit trails, safeguards and evaluation
  • Creating useful product features such as streaming responses, citations, review loops and error recovery
  • Developing APIs, backend services and frontend components
  • Building RAG pipelines, LLM integrations and multi-agent solutions
  • Deploying applications on Azure or GCP
  • Working with clients to understand their needs and demonstrate the value of a solution
  • Contributing to demonstrations, proposals and new AI offerings

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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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.

Experience we’re looking for:

  • Strong Python engineering, with experience building APIs using FastAPI, Django or Flask, plus SQL
  • Frontend development with TypeScript or JavaScript and React or Next.js
  • Hands-on work with LLM applications, RAG, MCP or model integrations
  • Agentic workflows using tools such as LangChain, CrewAI, AutoGen, OpenAI Agents or Google ADK
  • Experience taking applications into production with cloud AI services, Docker, CI/CD, automated testing and sound engineering practices

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You don’t need every tool on that list. What matters is that you can build AI applications, test them properly and work with clients from the initial idea through to production. Previous consulting experience, or comparable client-facing delivery within a complex organisation, is important.

Applicants must have resided continuously in the UK for the past five years.

Interested? Get in touch and quote J13190.

Alternatively, you can refer a friend or colleague through our referral scheme. For each relevant candidate you introduce whom we successfully place, you will be entitled to our gift or voucher scheme. Datatech is one of the UK’s leading recruitment agencies specialising in data and analytics and is the host of the critically acclaimed Women in Data event. For more information, visit www.datatech.org.uk.

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Location

Manchester, England, United Kingdom

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