McCabe & Barton
AI Engineer

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AI Engineer
Location: London, UK
Type: Hybrid - 3 days in office - 12-month contract (Inside IR35)
Rate: £700 - £950 p/d inside IR35
We are seeking an AI Engineer with a Software Engineering background to join a fast-moving team working across AI platform engineering and direct collaboration with business teams.
The role is split approximately 60/40 between platform engineering and business-facing AI delivery, focusing on building and deploying production-grade AI solutions. We are looking for someone who writes clean, production-quality code and can turn AI capability into real business impact.
Key Responsibilities
- Design, build and maintain core AI platform components - LLM gateway, MCP connector layer, observability tooling, and privacy Proxy
- Develop and harden MCP connectors across data sources
- Build AI-powered tools and workflows for business teams, translating use cases into governed, production-ready applications
- Integrate with Databricks/Unity Catalog as the data foundation for AI features
- Contribute to spec-driven development practices - writing clear specifications before building, with appropriate test coverage
- Support prompt engineering, evaluation, and iterative improvement of deployed AI features
- Collaborate with the engineering squad to displace outsourced delivery with in-house capability
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.
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- Hands-on experience building with LLM APIs (Anthropic, OpenAI or similar) in production environments
- Experience building AI Solutions is essential
- Experience with agentic frameworks, tool use, and MCP or equivalent connector patterns desirable
- Familiarity with observability and evaluation tooling for AI systems
- Understanding of data platforms - Databricks or similar - and how to expose data safely to LLMs
- Security and governance awareness: prompt injection, data boundary controls, RBAC
- Comfortable working in a small, high-trust team where you own things end to end
- Python development skills is essential
- Financial services or regulated environment experience
“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.”
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