Senior Full-Stack Engineer - AI Agent Platform

Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed. If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future. Senior 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 Senior Full-Stack Engineer to help us scale our platform and raise the engineering bar. You'll architect and deliver complex features across the entire stack - from React frontends to Python backends to LLM integrations - while mentoring teammates and shaping our technical direction. 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 at scale. What You'll Do Architect and build end-to-end features across our React frontend and FastAPI backend, making sound technical decisions that balance speed with maintainability Design AI agent workflows using LangGraph for screening automation, RAG pipelines, and multi-agent orchestration Lead technical initiatives - own complex features from design to production, breaking down ambiguous problems into actionable work Integrate complex data sources (internal APIs, third-party services like LexisNexis, data warehouse) with robust error handling and observability Improve platform reliability - implement monitoring, alerting, and performance optimizations for production AI systems Mentor and uplift junior and mid-level engineers through code reviews, pairing, and technical guidance Shape engineering practices - contribute to architecture decisions, coding standards, and team processes Collaborate cross-functionally with Product, Design, Compliance, and other engineering teams to deliver impactful solutions Tech Stack Frontend : React, TypeScript, Material-UI Module Federation (Micro-frontend architecture) Vite, Vitest Backend : Python 3.13, FastAPI LangGraph (AI agent orchestration) LlamaIndex (RAG/vector search) AWS Bedrock DynamoDB, OpenSearch Serverless Infrastructure: AWS (ECS Fargate, Lambda, API Gateway, S3) Terraform, GitHub Actions Docker, Kubernetes Sentry, Langfuse (LLM observability) What We're Looking For Must Have: 5+ years of professional software engineering experience Strong React + TypeScript skills - you can architect complex frontend applications with good state management, performance, and testing Strong Python backend experience - FastAPI, Django, or Flask with async programming, clean architecture, and production-grade code System design skills - you can design scalable, maintainable systems and articulate trade-offs clearly API design expertise - REST, WebSockets/SSE, and understanding of distributed systems patterns Database proficiency - SQL and NoSQL (DynamoDB, PostgreSQL, OpenSearch), including query optimization and data modeling Testing mindset - you write comprehensive tests and advocate for quality across the team Ownership mentality - you take features from idea to production, proactively identifying and solving problems Strong communication - you can explain complex technical concepts to engineers and non-engineers alike, and write clear documentation Mentorship ability - you enjoy helping others grow and have experience guiding less experienced engineers Nice to Have: LLM/AI experience - LangChain, LangGraph, RAG pipelines, prompt engineering, or fine-tuning Production AI syste