Ebury
Mid-Full-Stack Engineer - AI Agent Platform

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Mid-Full-Stack Engineer - AI Agent Platform
Location: London Victoria Office (Hybrid: 4 days in-office, 1 day remote)
About Ebury
Ebury helps ambitious businesses achieve global growth by fostering an inclusive, collaborative, and innovative environment where everyone feels valued and empowered. If you enjoy shaping the future through technical problem-solving, reach out—we’d love to accelerate your career.
About the Role
We are pioneering an AI-powered financial crime investigation platform that revolutionises how Ebury’s compliance teams operate. Our AI agents process thousands of screening cases, alleviating analyst workloads while adhering to regulatory standards.
We are seeking a Mid Full-Stack Engineer to collaborate across the entire development stack—from React frontends and Python backends to LLM integrations—shaping features that transform compliance operations. This opportunity lets you work at the cutting edge of AI/ML, fintech, and regulated industries, building enterprise-grade AI systems that handle real-world financial crime investigations.
What You’ll Do
- Build end-to-end features across the React frontend and FastAPI backend
- Design and develop AI agent workflows using LangGraph for screening automation
- Integrate with internal APIs, third-party services, and data warehouses
- Enhance the user experience (UX) for compliance analysts, ensuring seamless daily use
- Write clean, well-documented, and tested code
- Work closely with Product, Design, and Compliance stakeholders
- Grow your AI/LLM expertise through guided learning and innovation
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Tech Stack
Frontend
- React (v19) • TypeScript • Material-UI
- Module Federation (Micro-frontend architecture) • Vite • Vitest
Backend
- Python (v3.13) • FastAPI
- LangGraph (AI agent orchestration)
- AWS Bedrock • OpenSearch • DynamoDB
Infrastructure
- AWS (ECS Fargate, Lambda, API Gateway)
- Terraform • GitHub Actions
- Docker • Kubernetes
What We’re Looking For
Must-Have
- 2–5 years of professional software engineering experience
- React + TypeScript experience (or strong ability to upskill quickly)
- Python backend experience (FastAPI, Django, or Flask)
- Solid grasp of REST APIs, async programming, and databases
- SQL and NoSQL (preferably experience with DynamoDB or MongoDB)
- Familiarity with testing practices (unit/integration tests)
- Clear communication skills to explain technical concepts to non-engineers
- Curiosity and enthusiasm for AI/LLM innovations, even without prior experience
Nice-to-Have
- Experience with LLMs/AI (e.g., OpenAI, Claude, LangChain)
- Knowledge of AWS services (ECS, Lambda, DynamoDB, etc.)
- Understanding of streaming protocols (SSE, WebSockets)
- Prior work in fintech, compliance, or regulated industries
- Experience with micro-frontend architectures


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Why Join Ebury?
- Greenfield Innovation: Shape an AI product from inception, not maintain legacy systems. Your technical choices will have long-term impact.
- Technical Leadership: Drive your team’s technical vision, mentor engineers, and establish scalable design patterns.
- Cutting-Edge AI: Work on the latest LLM technologies—exploring LangGraph, RAG, multi-agent systems, and more.
- Real Impact: Your work helps process thousands of compliance cases weekly; you’ll see tangible results quickly.
- Startup Mindset in Fintech: Enjoy the energy and agility of a startup with the stability and resources of an enterprise.
About Us
Ebury transforms international business operations with a unified platform for business accounts, hedging, and financing. Founded in 2009, we’ve grown into a leader in global fintech, serving 1,800+ employees across 70+ cities.
We innovate continuously to support borderless growth, and our mission is straightforward: to help businesses operate and scale globally. With diverse opportunities—from engineering to business development—we foster an inclusive culture where every individual thrives.
Join us as a pioneer in fintech, where technology and purpose intersect.
Join Us
If you're passionate about AI-powered compliance solutions and want to accelerate your career, we’d love to discuss how Ebury can shape your future—get in touch!
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