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Applied AI Engineer

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Job Title:
Senior Applied AI Engineer
Salary:
Up to £140,000 base
Location:
London – Moorgate | Hybrid, 2 days per week in the office
Work Type:
Permanent
Role:
We’re working with an exciting AI technology business looking for a Senior Applied AI Engineer to join the team building and improving its production LLM systems.
This is a hands-on engineering role for someone who wants to work on real-world AI problems where the technology is already being used in production. Rather than focusing on training models or open-ended research, you’ll be solving the challenges that come with making LLM-powered products genuinely work at scale.
You’ll have the opportunity to influence how the product evolves, working closely with Product to improve quality, reduce cost and latency, build better evaluation frameworks and solve real production failures.
The engineering environment is also heavily AI-native, with tools such as Claude Code forming a key part of how the team builds and ships software.
Responsibilities:
- Build, improve and maintain production LLM systems
- Improve the cost and latency of LLM-powered features without sacrificing accuracy
- Design and implement evaluation frameworks that can reliably measure whether changes genuinely improve the product
- Investigate production failures raised by analysts, identify root causes and implement effective fixes
- Work across areas including RAG, prompting and agentic systems
- Partner closely with Product to shape new functionality and take ideas through to production
- Use AI-native engineering tools such as Claude Code as part of your day-to-day development workflow
- Make sound technical decisions when working through ambiguous engineering problems
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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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.
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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:
- 4+ years of experience building production software
- Experience shipping LLM-powered systems that have been used by real users
- Hands-on experience across areas such as RAG, prompting and/or agents
- Strong production engineering fundamentals, including an understanding of reliability and incident response
- Good technical understanding of LLMs, including concepts such as sampling parameters and embeddings
- Experience designing meaningful evaluations for AI/LLM systems
- Comfortable using agentic development tooling such as Claude Code, Codex or similar
- Experience working and shipping at pace
- Strong communication skills with the ability to explain technical decisions clearly and concisely


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Why should I apply?
This is an opportunity to move beyond LLM prototypes and work on the difficult engineering problems that appear when AI systems are operating in a real production environment.
You’ll be able to see the impact of your work directly – whether that’s improving the quality of outputs, making the platform faster and more cost-effective, solving production issues or influencing what gets built next.
You’ll also be joining an engineering environment that actively embraces AI-native development rather than simply experimenting with it on the side.
If you’re an experienced software engineer who has already shipped LLM systems and you want your next role to combine hands-on engineering, applied AI, product influence and genuine production challenges, this could be a great next step.
Interested?
Apply for the role today or send your CV to pierre.rodriguez@wedotech.uk
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