Senior Full-Stack Engineer - AI Agent Platform
Ebury
| Company | Ebury |
| Category | Engineering |
| Location | London |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 27 May 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
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 docu
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