frontends to Python backends to LLM integrations - shipping features that directly impact compliance operations. This is a unique opportunity to work at the intersection of AI/ML, fintech, and compliance - building production AI systems that handle real financial crime investigations. What You'll Do Build end-to-end features across our React frontend and FastAPI backend Develop AI agent workflows using LangGraph for screening automation and more Integrate with multiple data sources (internal APIs, third-party services, data warehouse) Improve the user experience for compliance analysts using our platform daily Write clean, tested code with good documentation Collaborate closely with Product, Design, and Compliance stakeholders Learn and grow - we'll help you develop expertise in AI/LLM systems Tech Stack Frontend : React 19, TypeScript, Material-UI Module Federation (Micro-frontend architecture) Vite, Vitest Backend : Python 3.13, FastAPI LangGraph (AI agent orchestration) AWS Bedrock
Requirements
DynamoDB, OpenSearch Infrastructure : AWS (ECS Fargate, Lambda, API Gateway) Terraform, GitHub Actions Docker, Kubernetes What We're Looking For Must Have: 2-5 years of professional software engineering experience React + TypeScript experience (or strong frontend skills with willingness to learn) Python backend experience (FastAPI, Django, or Flask) Solid understanding of REST APIs and async programming Comfortable with SQL databases and NoSQL (DynamoDB, MongoDB) Good testing practices (unit tests, integration tests) Clear communication skills - you can explain technical concepts to non-engineers Curiosity about AI/LLM - you're excited to learn, even if you haven't worked with it before Nice to Have: Experience with LLMs/AI (OpenAI, Claude, LangChain, etc.) Knowledge of AWS services (Lambda, ECS, DynamoDB) Familiarity with streaming (SSE, WebSockets) Previous work in fintech, compliance, or regulated industries Experience with micro-frontend architectures Why Join Us? Greenfield AI
About the company
Product: You'll help shape a product from early stages, not maintain legacy code. Your architectural decisions will have lasting impact. Technical Leadership: Drive technical direction for a growing team. Mentor engineers and establish patterns that scale. Cutting-Edge AI: Work with the latest LLM technologies in production - LangGraph, RAG, multi-agent systems, and more. Real Impact: Our AI agents process thousands of compliance cases. You'll see your work making a difference within weeks. Startup-within-Enterprise: Small, autonomous team with startup speed, backed by enterprise resources and stability. About us Ebury delivers sophisticated, integrated solutions - business accounts, hedging, and financing - on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally. Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring
together 1,800+ Eburians across nearly 70 cities and we're always looking to add to our team. At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage. The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars. We believe in inclusion. We stand against discrimination in all forms and are against 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.", "salary_raw": null}
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Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
03:15 MIN
The new AI engineer role and the RAG pipeline
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The future of AI as a colleague in the workplace
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Managing incidents and projects for banking clients
Fireside Chat with Lea
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Coffee with Developers - Maria Apazoglou
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The Deichmann RPA journey: Step by step with low-code automation to success
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The Day After the Robots Come. Tech Edition.
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The disconnect between AI hype and current hiring realities
Engineering Mindset in the Age of AI - Gunnar Grosch, AWS