Ebury
Senior Full-Stack Engineer - AI Agent Platform
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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)
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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 systems - experience with LLM observability (Langfuse), token management, streaming, and reliability patterns
- AWS expertise - Lambda, ECS, DynamoDB, OpenSearch, Bedrock, or similar cloud services
- Streaming architectures - SSE, WebSockets, event-driven systems
- Fintech/compliance background - AML, sanctions screening, KYC, or regulated industry experience
- Micro-frontend experience - Module Federation, independent deployability
- Infrastructure as Code - Terraform, CDK, or similar
What Sets Senior Apart
We're looking for engineers who demonstrate:
- Technical leadership - You don't just complete tasks; you identify the right problems to solve and influence technical direction
- Systems thinking - You consider the broader context: scalability, security, observability, and maintainability
- Proactive communication - You surface risks early, propose solutions, and keep stakeholders informed
- Quality advocacy - You raise the bar for testing, code review, and documentation across the team
- Pragmatic decision-making - You balance ideal solutions with delivery timelines, making conscious trade-offs
- Continuous learning - You stay current with industry trends and bring new ideas to the team
Why Join Us?
- 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 - 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.
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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 2000+ 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.
Important Security Notice for Job Applicants:
Ebury only accepts applications via official Ebury channels. We will only contact you from an @ebury.com domain. Always check the emails you receive from us, and note that we will never request payment for any part of the recruitment process. Stay safe and report suspicious activity.
Notice to Recruitment Agencies and Search Firms:
Ebury does not accept unsolicited resumes, CVs, or candidate profiles from recruitment agencies or search firms without signed written Ebury recruitment terms in place for a specific role. Any unsolicited applications will be considered the sole property of Ebury. Ebury will not be responsible or liable for any placement fees or costs associated with unagreed candidate submissions or subsequent hires.
AI Transparency Statement:
Ebury uses Artificial Intelligence (AI) and automated tools to help streamline certain parts of our recruitment process, however, these tools are strictly for administrative efficiency. All hiring decisions, including application reviews, shortlisting, and final selections are evaluated and conducted by human talent acquisition professionals and hiring managers.
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