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Inara

Artificial Intelligence Engineer

London
£85k – £110k/yr
Posted about 22 hours ago
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AI Engineer (Forward Deployed) | London | Hybrid

I’m working with a growing AI-Native Technology Consultancy that’s looking for an experienced (Senior / Lead) AI Engineer to join the team.

This is a hands-on role with a forward-deployed edge. You’ll work directly with clients, getting close to real-world problems, data and technical environments, then designing and building AI solutions that actually get used.

Think AI Engineer with a Field CTO mindset, understand the problem, shape the solution, build it, and help get it into production.

What you’ll be doing

  • Working directly with clients to understand technical and business problems
  • Designing and building AI-powered applications, prototypes and production solutions
  • Working with LLMs, RAG, agents and AI-enabled workflows
  • Integrating AI solutions with existing systems, APIs and data
  • Taking ideas from early concepts through to reliable, production-ready software
  • Building in the right approach to testing, evaluation, security and scalability
  • Working closely with engineers, technical leaders and senior client stakeholders
  • Helping teams understand where AI can genuinely improve products, processes and outcomes
  • Contributing to internal AI tooling, platforms and reusable capabilities
  • Keeping up with new developments across AI and working out where they can actually add value

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.

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.

What we're looking for

You’ll likely have a strong software engineering background and hands-on experience building and shipping AI-enabled applications.

Experience across some of the following would be valuable:

  • Python, TypeScript and/or Rust
  • Strong software engineering fundamentals
  • LLM-based applications
  • RAG and retrieval-based systems
  • Agentic AI or AI workflow orchestration
  • APIs, integrations and data
  • Testing and evaluating AI systems
  • Cloud platforms such as AWS or GCP
  • CI/CD and modern engineering practices
  • Building software that has made it into production

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We're interested in builders people who enjoy getting stuck into difficult problems, experimenting quickly and turning ideas into something useful.

You'll probably be someone who:

  • Enjoys working directly with customers
  • Is comfortable operating with a high degree of autonomy
  • Can move between technical detail and the bigger picture
  • Doesn't need everything perfectly defined before getting started
  • Has strong software engineering fundamentals
  • Thinks commercially and focuses on outcomes rather than technology for technology's sake
  • Enjoys experimenting with new technology but knows when to keep things simple
  • Can explain complex technical ideas clearly to both technical and non-technical people

Experience in consultancy, startups, product businesses or other fast-moving environments would be useful, but it's ultimately what you've built and how you approach problems that matters.

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Location

London, England, United Kingdom

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