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Ebury

AI Engineer

full-time•London

Summary

Location

London

Type

full-time

Experience

5-10 years

Company links

WebsiteLinkedInLinkedIn

About this role

<div class="content-intro"><p></p> <div>Ebury is a global fintech firm dedicated to empowering businesses to expand internationally through tailored and forward-thinking financial solutions. Since our founding in 2009, we’ve grown to a diverse team of over 1,700 professionals across 40+ offices and 29+ markets worldwide. Joining Ebury means becoming part of a collaborative and innovative environment where your contributions are valued. You’ll play a key role in shaping the future of cross-border finance, while advancing your own career in a dynamic, high-growth industry.</div> <p></p></div><p><strong>AI Engineer</strong></p> <p><strong>Ebury London Office: Office Based</strong></p> <p><strong><span>Are you ready to be an Eburian?</span></strong></p> <p><span>Join Ebury's internal AI startup, building next-generation Anti-Financial Crime AI&nbsp;</span><span>agents.</span></p> <p><span>You will be driving architecture and deployment of AI agents to mitigate regulatory risk </span><span>and enable rapid operational transformation at Ebury and beyond. We are seeking an </span><span>exceptional engineer to translate complex regulatory processes into robust, scalable </span><span>and auditable agentic systems.</span></p> <p><span>The ideal candidate is an exceptional AI engineer with an entrepreneurial mindset, big </span><span>dreams and ability to deliver under pressure. You will thrive on high autonomy, fast </span><span>iteration and working across technical, operational and compliance functions. If you </span><span>are driven by opportunities which demand hard work, ownership of the technical </span><span>roadmap, and you want to see your work immediately impact global financial </span><span>operations - this is your platform</span></p> <p><strong><span>What you will do</span></strong></p> <div class="page" data-page-number="1" data-loaded="true"> <div class="textLayer"> <ul> <li><span>Agent Architecture &amp; Orchestration: Design and orchestrate LLM-based agentic </span><span>workflows (using tools like AWS Bedrock, LangGraph or Google ADK). You will </span><span>move beyond simple linear chains to build agents capable of loops, reasoning, </span><span>and self-correction.</span></li> <li><span>Data Integration &amp; Tooling: Build secure, low-latency pipelines that allow agents </span><span>to autonomously query internal APIs, retrieve documents and execute tool calls </span><span>securely.</span></li> <li>Reliability &amp; Governance: Implement guardrails to prevent hallucinations. You&nbsp;<span>will ensure every agent decision is logged, explainable and fully auditable for </span><span>regulatory purposes.</span></li> <li>Production Engineering: Own the full technical roadmap from prototype to&nbsp;<span>production, ensuring systems are deployed using Infrastructure-as-Code </span><span>(Terraform/CDK) and meet strict security standards</span></li> </ul> <p><strong><span>Required Qualifications</span></strong></p> <ul> <li><span>Core Engineering &amp; Python: Strong background in software engineering and&nbsp;Python. You write clean, production-grade code and understand distributed&nbsp;system design.<br></span></li> <li><span>Agentic AI Experience: Proven hands-on experience building agents that use Tool Calling and RAG. You understand the difference between a simple LLM call and a stateful agent workflow.<br></span></li> <li><span>Cloud Native (AWS): proficiency in the AWS ecosystem (Lambda, S3, IAM, DynamoDB). You can deploy secure serverless architectures and manage secrets effectively.<br></span></li> <li><span>Production Mindset: You have moved AI/ML projects beyond notebooks into high-availability production environments</span></li> </ul> <p><strong><span>Desirable Attributes</span></strong></p> <ul> <li><span>Domain Expertise: Experience working in Financial Crime, AML (Anti-Money&nbsp;Laundering), or KYC contexts.<br></span></li> <li><span>Risk &amp; Control: Familiarity with Model Risk Management (MRM) or experience implementing human-in-the-loop workflows for sensitive data</span></li> </ul> <p><strong><span>What We Offer</span></strong></p> <ul> <li><span>A competitive salary, performance-based bonus, and a comprehensive benefits&nbsp;package.<br></span></li> <li><span>Opportunity to define the agentic architecture for Financial Crime prevention in regulated financial services.<br></span></li> <li><span>Work on intellectually stimulating projects, leveraging LLMs and agentic frameworks to solve problems with global significance.<br></span></li> <li><span>A dynamic, inclusive and high-performance work environment with rapid opportunities for technical leadership and growth.<br></span></li> <li><span>Direct collaboration with Financial Crime Compliance experts and senior Ebury technology leaders</span></li> </ul> <p>&nbsp;</p> <p>&nbsp;</p> <p><span>#LI-FZ1</span></p> <p><span>#LI-ONSITE</span></p> </div> </div><div class="content-conclusion"><p><strong>About Us</strong></p> <p><strong>Ebury is a FinTech success story, positioned among the fastest-growing international companies in its sector.</strong><br><br>Founded in 2009, we are headquartered in London and have more than 1700 staff with a presence in more than 29 markets worldwide. Cultural diversity is part of what makes Ebury a special place to be. From Sao Paulo to Dubai, Vancouver to Auckland, we enjoy sharing team experiences and celebrating success across the Ebury family.<br><br>Hard work pays off: in 2019, Ebury received a £350 million investment from Banco Santander and has won internationally recognised awards including Financial Times: 1000 Europe's Fastest-Growing Companies.<br><br>None of this would have been possible without our proudest achievement: our great people. Enthusiastic, innovative and collaborative teams, always ready to disrupt and revolutionise the fast-paced FinTech sector.&nbsp;<br><br>At Ebury, we’re committed to building a workplace where everyone feels valued, supported, and empowered to thrive. We’re proud to have active employee networks and ESG initiatives that reflect our inclusive culture, including our <strong>Women’s Network</strong>, <strong>LGBTQIA+ Network</strong>, and <strong>Veterans Network</strong>. These communities provide spaces for connection, mentorship, advocacy, and collaboration across our global teams.</p> <p><em>We believe in inclusion. We stand against discrimination in all forms and have no tolerance for the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story because we want you and your uniqueness to help write our future.</em></p> <p><em>Please submit your application on the careers website directly, uploading your CV / resume in English.</em></p> <p>&nbsp;</p></div>

What you'll do

  • You will design and orchestrate LLM-based agentic workflows and build secure, low-latency pipelines for autonomous querying and execution. Additionally, you will implement guardrails for reliability and governance while owning the technical roadmap from prototype to production.

About Ebury

About Ebury® Ebury is a Fintech company specialised in international payments, collections, and foreign exchange services. It offers financial solutions aimed mainly at SMEs and midcaps. Ebury offers foreign exchange activity in over 130 currencies - for both major and emerging markets - as well as cash management strategies, trade finance, and foreign exchange risk management. Founded in London in 2009 by Spanish engineers Juan Lobato and Salvador García, the company has grown its global market presence to a network of 31 offices in 21 countries and more than 1,300 employees. Throughout its history, the company has received more than 20 international awards, including the Financial Times 1000 Europe's fastest-growing companies 2020 and The Sunday Times Tech Track 100. All these recognitions place Ebury as one of the leading European financial technology companies. ebury.com

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Frequently Asked Questions

What does a AI Engineer do at Ebury?

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As a AI Engineer at Ebury, you will: you will design and orchestrate LLM-based agentic workflows and build secure, low-latency pipelines for autonomous querying and execution. Additionally, you will implement guardrails for reliability and governance while owning the technical roadmap from prototype to production..

Is the AI Engineer position at Ebury remote?

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The AI Engineer position at Ebury is based in London, United Kingdom. Contact the company through Clera for specific work arrangement details.

How do I apply for the AI Engineer position at Ebury?

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You can apply for the AI Engineer position at Eburydirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.
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