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Applied AI Engineer

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Job Title: Applied AI Engineer
Salary:
£120,000 - £150,000 base + 20% bonus + benefits
Location:
London, hybrid - 1 day per week in the office
Work Type:
Permanent
Role:
We're hiring Applied AI Engineers to join an AI-native business that is going through a serious period of growth.
The company is only around 12 months into its journey, has already surpassed $10m ARR, has four AI products in market and another four being developed. The ambition is to build a $1bn business within the next seven years.
What makes the opportunity different is the combination of a startup environment with the backing and customer access of a global enterprise software business.
You'll have the freedom to build quickly, make decisions and own problems, whilst having access to major enterprise customers, real operational data and the opportunity to see what you build deployed into production.
The problems are complex and genuinely real-world, spanning industries including manufacturing, aerospace & defence, energy, utilities, telecommunications and industrial asset management.
Responsibilities:
- You'll work directly with customers to understand difficult operational problems and personally build AI solutions to solve them.
- Your day-to-day will include:
- Building Applied AI products from initial idea and prototype through to production
- Designing and developing LLM and Agentic AI systems
- Working directly with customers and end users to understand the problem behind the requirement
- Building prototypes with customers, gathering feedback and iterating quickly
- Creating and maintaining evals to understand whether AI systems genuinely work
- Making pragmatic decisions across models, RAG, agents, workflows and traditional software
- Thinking about reliability, latency, cost, guardrails, observability and failure modes
- Turning successful customer solutions into scalable products
- Owning problems end to end rather than waiting for perfectly defined requirements
- Explaining complex technical decisions to both technical and non-technical stakeholders
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.
Required Skills:
We're looking for strong Software Engineers who have moved deeply into Applied AI and can demonstrate what they've actually shipped.
You'll ideally bring:
- Strong software engineering fundamentals
- Strong Python and/or TypeScript
- Commercial experience building with LLMs and Applied AI
- Experience building Agentic AI applications and/or LLM-powered products
- Experience taking AI products beyond POC and into production
- Practical experience with AI evaluation and measuring the quality of non-deterministic systems
- Cloud infrastructure and CI/CD experience
- Experience working directly with customers or non-technical stakeholders
- The ability to explain technically complex solutions in simple terms
- A product mindset and experience across the full journey from customer problem through to production


Get help with your application
Your very own career expert that helps elevate your application to the next level.
The specific frameworks you've used aren't particularly important. What matters is being able to explain what you built, why you made the decisions you did, how you evaluated whether it worked and what changed for the user as a result.
Why should I apply?
This is an opportunity for someone who wants more ownership than you'd typically get within a larger engineering organisation, without giving up the scale of problems you get to solve.
You'll join a small, high-calibre team where there is very little ego, very little bureaucracy and engineers are trusted to make decisions.
You won't spend your time building AI demos that never leave a POC. You'll work directly with customers, understand genuine problems, build the solution and see the impact in real production environments.
The company has already proved the initial 0 to 1 journey. The next phase is about going 1 to 10, scaling the products, building new ones and maintaining the engineering standards and culture that got them this far.
If you live and breathe AI, enjoy solving ambiguous problems and want to be surrounded by people who will challenge you technically, this is worth a conversation.
Interested?
Apply for the role today or send your CV to pierre.rodriguez@wedotech.uk
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