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Artificial Intelligence Engineer

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Staff DevEx AI Engineer
We’re supporting a high growth FinTech/product company looking for a Staff DevEx AI Engineer to help define how AI changes the way software is built across its engineering organisation.
This is a highly technical, hands-on Staff role with significant ownership. You’ll explore, architect and build AI powered developer capabilities, identifying where LLMs and agentic systems can create genuine engineering leverage and taking ideas from experimentation through to production adoption.
What you’ll be doing
- Own and steer the technical direction for AI-powered Developer Experience across the engineering organisation.
- Architect and build coding agents, AI developer tooling and intelligent engineering workflows.
- Work across areas such as code generation, codebase understanding, automated testing, debugging, code review and AI-assisted SDLC workflows.
- Build integrations between LLMs/agents, engineering systems, developer tooling and complex codebases.
- Explore emerging models, frameworks and approaches, making strong technical decisions around what to build, buy or integrate.
- Prototype rapidly, evaluate effectiveness and turn successful approaches into robust production capabilities.
- Establish technical patterns and influence how engineering teams adopt AI across the development lifecycle.
- Operate as a Staff-level technical authority, influencing architecture and engineering direction across teams.
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.
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.
What we’re looking for
- Significant experience as a senior/staff-level software or AI engineer, with strong computer science and software engineering fundamentals.
- Hands-on experience designing and building LLM-powered systems, AI agents or agentic architectures.
- Strong knowledge of tool use, context engineering, orchestration, evaluation and reliability in production AI systems.
- Experience with developer tooling, coding agents, code intelligence, automated testing/debugging or AI-assisted software engineering is highly desirable.
- Comfortable getting deep into codebases, architecture and engineering infrastructure rather than operating purely at strategy level.
- Strong technical judgement and the ability to set direction and influence senior engineers and engineering leadership.
- Comfortable tackling ambiguous technical problems where the solution, and sometimes the problem itself, still needs to be defined.


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Why it’s interesting
You won’t be joining to simply implement an existing AI roadmap. You’ll have the opportunity to help define it.
The business is investing seriously in AI native engineering and wants someone capable of determining where these technologies genuinely create leverage, building the underlying capabilities and influencing how they are adopted across engineering.
It’s a rare opportunity to combine senior level software engineering, applied AI and Developer Experience with genuine ownership over the technical direction.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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