Ebury
Senior Full-Stack Engineer - AI Agent Platform
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Senior Full-Stack Engineer – AI Agent Platform
Location: London Victoria Office – Hybrid (4 days in-office, 1 day remote)
About the Role
We’re building an AI-powered financial crime investigation platform that transforms how Ebury’s compliance teams operate. Our AI agents will process thousands of screening cases—reducing analyst workloads while upholding regulatory standards.
We’re looking for a Senior Full-Stack Engineer to help scale our platform and raise the engineering bar. You’ll architect and deliver complex features across the full tech stack—from React frontends to Python backends to LLM integrations—while mentoring teammates and shaping technical direction.
This is a rare opportunity to work at the intersection of AI/ML, fintech, and compliance, building production-grade AI systems that handle real financial crime investigations at scale.
What You’ll Do
- Architect and build end-to-end features across React frontend + FastAPI backend, making technical choices that balance speed, reliability, and 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 diverse data sources (internal APIs, third-party services like LexisNexis, and data warehouses) with robust error handling and observability
- Improve platform reliability—deploy monitoring, alerting, and performance optimizations for production AI systems
- Mentor junior/mid-level engineers via code reviews, pair programming, and technical guidance
- Shape engineering practices—contribute to architecture, coding standards, and team processes
- Collaborate cross-functionally with Product, Design, Compliance, and engineering teams to deliver impactful solutions
Tech Stack
Frontend:
- React, TypeScript
- Material-UI
- Module Federation (micro-frontend architecture)
- Vite, Vitest
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Backend:
- Python 3.13, FastAPI
- LangGraph (AI agent orchestration)
- LlamaIndex (RAG/vector search)
- AWS Bedrock
Databases & Search:
- DynamoDB, OpenSearch Serverless
Infrastructure & DevOps:
- AWS (ECS Fargate, Lambda, API Gateway, S3)
- Terraform, GitHub Actions
- Docker, Kubernetes
- Sentry, Langfuse (LLM observability)
Requirements
Must Have:
- 5+ years of professional software engineering experience
- Proficient in React + TypeScript—capable of architecting complex frontend apps with state management, optimisation, and testing
- Strong Python backend experience—expertise in FastAPI, Django, or Flask, including async programming, clean architecture, and production-grade code
- System design skills—ability to design scalable, maintainable systems and articulate trade-offs clearly
- API design expertise—REST, WebSockets/SSE, and distributed systems patterns
- Database proficiency—SQL (PostgreSQL) + NoSQL (DynamoDB, OpenSearch), including query optimisation and data modelling
- Testing mindset—comprehensive testing, advocating for code quality and documentation
- Ownership mentality—take features from idea to production, proactively identify and solve problems
- Strong communication—explain complex concepts to engineers and non-technical stakeholders, clear documentation
- Mentorship ability—enjoy guiding less experienced engineers, code pairing, and technical leadership
Nice to Have:
- LLM/AI experience—familiarity with 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, or 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
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What Sets Senior Engineers Apart
We’re looking for technical leaders who:
✔ Drive impact—identify key problems, influence technical direction, and deliver real results ✔ Think systemically—consider scalability, security, observability, and maintainability ✔ Communicate proactively—surface risks early, propose solutions, and keep stakeholders aligned ✔ Advocate for quality—raise standards for testing, code reviews, and documentation ✔ Make pragmatic decisions—balance ideal solutions with delivery deadlines, conscious trade-offs ✔ Stay curious—learn continuously, bring fresh ideas to the team
Why Join Ebury?
🚀 Greenfield AI Product – Shape a product from scratch, not maintain legacy code. Your architectural choices will have lasting impact. 🧠 Technical Leadership – Drive engineering direction, mentor engineers, and set patterns for scalability. 🤖 Cutting-Edge AI – Work with latest LLM technologies in production: LangGraph, RAG, multi-agent systems. 💡 Real Impact – Your AI agents process thousands of compliance cases weekly. See tangible results fast. 🏢 Startup Culture in a Fintech Enterprise – Fast-moving team with startup agility, backed by enterprise resources.
About Ebury
Ebury delivers integrated fintech solutions—business accounts, hedging, and financing—on a single platform. Our mission? Help businesses operate and scale globally.
Since 2009, we’ve grown from a fast-moving start-up to a leader in fintech, now employing 1,800+ people across nearly 70 cities. Our proprietary platform simplifies global cash flow, driving borderless growth.
At Ebury, we value diversity, inclusion, and+belonging. We stand against discrimination and celebrate differences, ensuring everyone feels valued and empowered regardless of background.
Ready to shape the future of AI in fintech? Get in touch!
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