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Mid-Full-Stack Engineer - AI Agent Platform
Отличная возможность поработать над 'greenfield' проектом в сфере AI внутри стабильной финтех-компании. Использование самого современного стека технологий и фокус на инновациях делают вакансию очень привлекательной для профессионального роста.
Сложность вакансии
Позиция требует уверенного владения современным стеком (React 19, Python 3.13, FastAPI) и готовности работать с AI-инструментами вроде LangGraph. Гибридный формат работы в Лондоне (4 дня в офисе) добавляет логистической сложности для кандидатов не из города.
Анализ зарплаты
Зарплата в объявлении не указана, но для уровня Mid-level Full-stack разработчика в Лондоне рыночный диапазон составляет £60,000 – £85,000 в год. Учитывая специфику AI и финтеха, предложение может находиться в верхней части этого диапазона.
Сопроводительное письмо
I am writing to express my interest in the Mid-Full-Stack Engineer position for the AI Agent Platform at Ebury. With over three years of experience in full-stack development using React and Python, I have a proven track record of building scalable web applications and a deep-seated passion for integrating AI/ML technologies into production environments. Your mission to transform financial crime investigations through AI agents resonates with my desire to work on high-impact, greenfield projects.
In my previous roles, I have successfully implemented complex frontends with React and robust backends using FastAPI, which aligns perfectly with your tech stack. I am particularly excited about the opportunity to work with LangGraph and AWS Bedrock to automate screening workflows. My experience with micro-frontend architectures and AWS services will allow me to contribute immediately to your team's goals while maintaining high standards for code quality and documentation.
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Присоединяйтесь к Ebury, чтобы создавать инновационные AI-решения на стыке финтеха и комплаенса!
Описание вакансии
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.
Mid-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 Mid Full-Stack Engineer to join our growing team. You'll work across the entire stack - from React frontends to Python backends to LLM integrations - shipping features that directly impact compliance operations.
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.
What You'll Do
- Build end-to-end features across our React frontend and FastAPI backend
- Develop AI agent workflows using LangGraph for screening automation and more
- Integrate with multiple data sources (internal APIs, third-party services, data warehouse)
- Improve the user experience for compliance analysts using our platform daily
- Write clean, tested code with good documentation
- Collaborate closely with Product, Design, and Compliance stakeholders
- Learn and grow - we'll help you develop expertise in AI/LLM systems
Tech Stack
Frontend:
- React 19, TypeScript, Material-UI
- Module Federation (Micro-frontend architecture)
- Vite, Vitest
Backend:
- Python 3.13, FastAPI
- LangGraph (AI agent orchestration)
- AWS Bedrock
- DynamoDB, OpenSearch
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 frontend skills with willingness to learn)
- Python backend experience (FastAPI, Django, or Flask)
- Solid understanding of REST APIs and async programming
- Comfortable with SQL databases and NoSQL (DynamoDB, MongoDB)
- Good testing practices (unit tests, integration tests)
- Clear communication skills - you can explain technical concepts to non-engineers
- Curiosity about AI/LLM - you're excited to learn, even if you haven't worked with it before
Nice to Have:
- Experience with LLMs/AI (OpenAI, Claude, LangChain, etc.)
- Knowledge of AWS services (Lambda, ECS, DynamoDB)
- Familiarity with streaming (SSE, WebSockets)
- Previous work in fintech, compliance, or regulated industries
- Experience with micro-frontend architectures
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.
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 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.
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Навыки
- TypeScript
- Python
- Terraform
- SQL
- Kubernetes
- React
- Docker
- DynamoDB
- AWS Lambda
- NoSQL
- FastAPI
- AWS Bedrock
- LangGraph
- Micro-frontends
- OpenSearch
- AWS ECS Fargate
Возможные вопросы на собеседовании
Проверка понимания архитектуры AI-агентов, упомянутой в описании вакансии.
Как бы вы спроектировали рабочий процесс (workflow) для AI-агента с использованием LangGraph для обработки подозрительных транзакций?
Вакансия предполагает работу с микрофронтендами.
Какие основные сложности возникают при использовании Module Federation в React-приложениях и как вы их решали?
Важно для работы с финансовыми данными и LLM.
Как обеспечить консистентность данных при интеграции FastAPI с асинхронными вызовами к внешним LLM-провайдерам и DynamoDB?
Проверка навыков работы с облачной инфраструктурой.
Опишите ваш опыт работы с AWS Lambda и ECS: в каких случаях вы выберете одно решение вместо другого для бэкенд-сервисов?
Оценка софт-скиллов и умения работать в кросс-функциональной команде.
Как вы объясните нетехническому специалисту по комплаенсу, почему AI-агент принял то или иное решение в ходе расследования?
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