AI Engineer, Ebury

• 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
• 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

• 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
• 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
• 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
• Direct collaboration with Financial Crime Compliance experts and senior Ebury technology leaders

• Please submit your application on the careers website directly, uploading your CV / resume in English