AI Engineer at Ebury

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

25 Apr, 26

Salary

0.0

Posted On

25 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Engineering, Python, Distributed Systems, Tool Calling, RAG, AWS, Serverless Architectures, Infrastructure-as-Code, Financial Crime, AML, KYC, Model Risk Management, Human-in-the-Loop Workflows, Data Integration, Agent Architecture, Production Engineering

Industry

Financial Services

Description

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. AI Engineer Ebury London Office: Office Based Are you ready to be an Eburian? Join Ebury's internal AI startup, building next-generation Anti-Financial Crime AI agents. You will be driving architecture and deployment of AI agents to mitigate regulatory risk and enable rapid operational transformation at Ebury and beyond. We are seeking an exceptional engineer to translate complex regulatory processes into robust, scalable and auditable agentic systems. The ideal candidate is an exceptional AI engineer with an entrepreneurial mindset, big dreams and ability to deliver under pressure. You will thrive on high autonomy, fast iteration and working across technical, operational and compliance functions. If you are driven by opportunities which demand hard work, ownership of the technical roadmap, and you want to see your work immediately impact global financial operations - this is your platform What you will do Agent Architecture & Orchestration: Design and orchestrate LLM-based agentic workflows (using tools like AWS Bedrock, LangGraph or Google ADK). You will move beyond simple linear chains to build agents capable of loops, reasoning, and self-correction. Data Integration & Tooling: Build secure, low-latency pipelines that allow agents to autonomously query internal APIs, retrieve documents and execute tool calls securely. Reliability & Governance: Implement guardrails to prevent hallucinations. You will ensure every agent decision is logged, explainable and fully auditable for regulatory purposes. Production Engineering: Own the full technical roadmap from prototype to production, ensuring systems are deployed using Infrastructure-as-Code (Terraform/CDK) and meet strict security standards Required Qualifications Core Engineering & Python: Strong background in software engineering and Python. You write clean, production-grade code and understand distributed system design. 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. Cloud Native (AWS): proficiency in the AWS ecosystem (Lambda, S3, IAM, DynamoDB). You can deploy secure serverless architectures and manage secrets effectively. Production Mindset: You have moved AI/ML projects beyond notebooks into high-availability production environments Desirable Attributes Domain Expertise: Experience working in Financial Crime, AML (Anti-Money Laundering), or KYC contexts. Risk & Control: Familiarity with Model Risk Management (MRM) or experience implementing human-in-the-loop workflows for sensitive data What We Offer A competitive salary, performance-based bonus, and a comprehensive benefits package. Opportunity to define the agentic architecture for Financial Crime prevention in regulated financial services. Work on intellectually stimulating projects, leveraging LLMs and agentic frameworks to solve problems with global significance. A dynamic, inclusive and high-performance work environment with rapid opportunities for technical leadership and growth. Direct collaboration with Financial Crime Compliance experts and senior Ebury technology leaders #LI-FZ1 #LI-ONSITE About Us Ebury is a FinTech success story, positioned among the fastest-growing international companies in its sector. 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. 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. 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. 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 Women’s Network, LGBTQIA+ Network, and Veterans Network. These communities provide spaces for connection, mentorship, advocacy, and collaboration across our global teams. 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. Please submit your application on the careers website directly, uploading your CV / resume in English.

Responsibilities

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.