> Markdown version of [/jobs/ext/2305098-mid-full-stack-engineer-ai-agent-platform](https://www.wearedevelopers.com/jobs/ext/2305098-mid-full-stack-engineer-ai-agent-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Mid-Full-Stack Engineer - AI Agent Platform - **Company:** Ebury - **Location:** London, UK (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Unit Testing, Computer Programming, Data Warehousing, Django Web Framework, Amazon DynamoDB, Github, Python (Programming Language), MongoDB, NoSQL, Software Product Management, Software Engineering, SQL Databases, Data Streaming, TypeScript, WebSocket, ReactJS, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Backend, Fastapi, Webpack, Integration Tests, Kubernetes, AWS Fargate, Front End Software Development, Virtual Agents, Functional Programming, Api Gateway, JestJS, Restful APIs, Terraform, Docker - **Published:** August 30, 2026 - **Apply:** https://www.collegerecruiter.com/job/2815437178-mid-full-stack-engineer-ai-agent-platform ## About the Role * 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 ## Description 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 m ore * 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, * 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 A I : 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. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)