Talently
Applied AI Engineer

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Title: Applied AI Engineer
Time: Full-Time (UK Hours)
Location: Remote (UK or Europe - preference for London, Spain, Portugal, or Poland)
Compensation: $100,000 - $150,000 USD + Competitive Equity
The Company
Our client is building the AI operating system for residential lettings. Its growing network of agencies provides its AI with real-world data, continuous feedback, and control over complete workflows, making exceptional service the standard for landlords and tenants.
Role Overview
Our client is a UK-based property management platform that grows by acquiring and integrating letting agencies. This role is focused on scaling the company's AI engine, which automates tenant find, property management, and finance. As an Applied AI Engineer, you will unify existing AI flows, build a robust evaluation layer, and scale the agentic infrastructure to handle future acquisitions.
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.
Key Responsibilities
- Unify existing AI flows and scale agentic infrastructure to support rapid growth and agency acquisitions.
- Design, build, and deploy production-grade agentic systems, decomposing tasks, orchestrating subagents, and implementing tool use with structured outputs.
- Establish robust evaluation layers, feedback loops, and metrics to continuously optimize latency, cost, reliability, and hallucination rates.
- Drive backend engineering initiatives to ensure seamless integration between the AI engine and core platform infrastructure.
- Collaborate on continuous feedback mechanisms to turn real-world operational data into improved AI workflows.


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Technical Stack
- Languages & Runtimes: TypeScript, Node.js, Python
- Databases: PostgreSQL
- AI Architecture: LLM Orchestration, Agentic Workflows
Qualifications
- Bachelor's degree in Computer Science or a related technical field.
- 3+ years of experience in software engineering with a strong backend foundation.
- Proven track record of building and shipping AI or agentic systems in production environments.
- Demonstrated expertise in managing production LLM performance metrics, including latency, cost, reliability, hallucinations, and evaluation framework design.
- Prior experience at an AI-native company or fast-paced startup building hands-on agentic systems.
- Fully authorized to work remotely within the UK or Europe without requiring visa sponsorship.
“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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