Tech Talent Partners
Artificial Intelligence Engineer

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Senior AI Engineer
📍 London - 4 days per week in the office
đź’° ÂŁ100-150k + meaningful equity
🛂 Visa sponsorship available
Summary
I’m working with a fast-growing Series A AI company building software for complex, high-value knowledge work. They’ve found strong product-market fit and are now expanding a small, high-calibre engineering team in London. I'm working with the founding team and have hired several engineers for them already - excited to share more details if you'd like to apply!
The Role
They’re looking for a Senior AI Engineer to take ownership of the agentic systems at the heart of the product. This is very much applied AI: building production systems that can research, reason across large volumes of information and produce reliable, evidence-backed outputs.
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.
You’ll work across:
- LLM agents and agent workflows
- Retrieval, search and document understanding
- Evaluation frameworks and AI reliability
- Context engineering and tool use
- Taking prototypes into production
- Working closely with product and customers to solve real problems
- Owning features end-to-end
The Team
The team is deliberately small and senior, so you’ll have plenty of influence over architecture, product direction and how the AI stack develops.
The Tech Stack
Current technologies include Python, LLMs, agent frameworks, OpenSearch, FastAPI, Postgres and RabbitMQ. They’re much more interested in what you’ve actually built and shipped than AI theory or experimentation in isolation.


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What They’re Looking For
Ideally, you’ll have:
- Strong Python/software engineering experience
- Shipped LLM, agent or retrieval-based products into production
- Hands-on experience with agents, RAG/retrieval, search and evals
- Strong product instincts and a high level of ownership
- Experience in a fast-moving startup or similarly demanding environment
If it sounds relevant, drop me a message and I can share more.
“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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