Mid-Full-Stack Engineer - AI Agent Platform

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.

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 m ore
• 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
• DynamoDB, OpenSearch

Infrastructure :

• AWS (ECS Fargate, Lambda, API Gateway)
• Terraform, GitHub Actions
• Docker, Kubernetes, * 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 A I : 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.

• 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