Mid-Full-Stack Engineer - AI Agent Platform

Mid-Full-Stack Engineer - AI Agent Platform London Victoria Office - Hybrid: 4 days in the office, 1 day working from home About The Role

We're building an AI-powered financial crime investigation platform that's transforming how Ebury's compliance teams work. Our AI agents will process thousands of screening cases, reducing analyst workload while maintaining regulatory standards. We're looking for a Mid Full-Stack Engineer to join our growing team. You'll work across the entire stack - from React 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.

• Build end-to-end features across our React frontend and FastAPI backend
• Develop AI agent workflows using Lang Graph 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

• React 19, Type Script, Material-UI
• Module Federation (Micro-frontend architecture)
• Vite, Vitest

• Python 3.13, FastAPI
• Lang Graph (AI agent orchestration)
• AWS Bedrock
• Dynamo
  
  DB, Open Search

• AWS (ECS Fargate, Lambda, API Gateway)
• Terraform, Git Hub Actions
• Docker, Kubernetes

• 2-5 years of professional software engineering experience
• React + Type Script 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 No
  
  SQL (Dynamo
  
  DB, Mongo
  
  DB)
• 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

• Experience with LLMs/AI (OpenAI, Claude, Lang Chain, etc.)
• Knowledge of AWS services (Lambda, ECS, Dynamo
  
  DB)
• Familiarity with streaming (SSE, Web Sockets)
• Previous work in fintech, compliance, or regulated industries
• Experience with micro-frontend architectures

• Greenfield AI 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 – Lang Graph, 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.

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.