How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Full stack Engineer - AI
Senior Full-Stack Engineer — Flow (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.
Location: London Victoria Office
Work Pattern
Hybrid (4 days office, 1 day remote)
Team: Flow (Core AI Infrastructure)
About The Role
Flow is our internal AI agent platform. This isn't a basic chatbot bolted onto a help center; it is core agentic infrastructure that reaches across our data warehouse, services, and central systems to execute complex work on behalf of the business. Flow powers both internal and client-facing workflows, delivering true automation and replacing traditional ticketing queues with instant, intelligent actions.
We are looking for a Senior Full-Stack Engineer to help us transition Flow from a fast-moving internal product to durable, productionized platform infrastructure. You will own complex features end-to-end—including agent workflows, reasoning UIs, and cross-system integrations—while raising the engineering bar and shaping the technical direction of a small, autonomous team.
This role sits at the intersection of agentic AI and live operational workflows within a regulated fintech environment. The surface area is the entire company, and your impact will be visible within weeks.
What You'll Do
- Build Action-Oriented Agent Workflows: Design multi-step orchestration, tool use, and retrieval grounded in our data stores using the Strands Agents SDK.
- Architect End-to-End Features: Own development across a React/TypeScript frontend and Python/FastAPI backend, balancing rapid iteration with platform maintainability.
- Own the Reasoning Layer: Extend our Chain-of-Thought UI to ensure explainability. In a regulated environment, showing why an agent made a decision is a core feature, not a nicety.
- Make Agents Measurably Reliable: Build and extend our evaluation harness (Ragas) and observability platform (Langfuse, with session continuity) so we ship changes based on evidence, not vibes.
- Define Evaluation Strategies: Build custom evaluators, datasets, benchmarks, and automated regression suites to catch quality regressions before they hit production.
- Integrate Systems & Clouds: Connect internal APIs, data warehouses, email, and cross-cloud GCP/AWS services with robust error handling and distributed tracing.
- Industrialize Prototypes: Drive the discover → industrialize → productionize lifecycle, turning promising AI prototypes into hardened, daily-deployed services on CD pipelines.
- Mentor & Lead: Uplift mid-level engineers through code reviews, pair programming, and establishing scalable engineering patterns.
- Collaborate Cross-Functionally: Partner with Product, Ops, Trading, and Treasury to identify high-value workflows worth automating (and ruthlessly deprioritize the ones that aren't).
Reasons to use Rodeo
Start with a chat, not a search bar
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.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
The Tech Stack
Frontend
- React, TypeScript
- Micro.frontend architecture
- Chain-of-Thought / Agent-reasoning UI
- Vite, Vitest
Backend & AI
- Python, FastAPI
- Strands Agents SDK (Agent Orchestration)
- AWS Bedrock
- RAG / Advanced Retrieval
- Ragas (Evaluation), Langfuse (LLM Observability)
Infrastructure
- AWS (ECS Fargate, Lambda, API Gateway, S3) with cross-cloud GCP integration
- Terraform, GitHub Actions
- Docker
- Event-driven integration patterns
What We're Looking For
Must-Haves
- 5+ years of professional software engineering experience
- Strong Python Backend Expertise: Deep experience with FastAPI (or Django/Flask), asynchronous programming, clean architecture, and writing production-grade code
- Strong React & TypeScript Skills: Ability to architect non-trivial frontends with sound state management, performance optimization, and comprehensive testing
- System Design Judgement: A proven track record of designing scalable, maintainable systems and clearly articulating architectural trade-offs
- API & Integration Skills: Proficiency with REST, streaming (SSE/WebSockets), and the real-world complexities of stitching together messy upstream systems
- Data Proficiency: Strong SQL/NoSQL skills, query optimization, and data modeling
- Testing & Ownership Mindset: You treat testing as a core part of the development lifecycle and proactively drive features from ambiguous ideas to production
- Excellent Communication: Ability to explain technical decisions to both engineers and non-technical stakeholders, alongside a passion for writing useful documentation
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Nice-to-Haves
- Agentic AI Experience: Hands-on experience with agent orchestration (Strands, LangGraph, AutoGen, or similar), RAG, tool use, and context engineering
- Production LLM Systems: Familiarity with LLM observability (Langfuse), evaluation (Ragas), token/cost management, and reliability patterns
- AWS Depth: Experience with Lambda, ECS, Bedrock, or equivalent cloud services (cross-cloud exposure is a major plus)
- Event-Driven Architectures: Experience with event streaming and message brokers
- Regulated Environments: Experience working within fintech, compliance, or similar sectors with strict data-residency and auditability constraints
- Micro-frontends & IaC: Experience with micro-frontend architecture and Infrastructure as Code (Terraform/CDK)
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 1,800+ 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 make 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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location