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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full-Stack Engineer - AI Agent Platform - **Company:** Ebury - **Location:** UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Multitier Architecture, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Code Review, Computer Programming, Databases, Data Warehousing, Distributed Systems, Django Web Framework, Amazon DynamoDB, Github, Python (Programming Language), PostgreSQL, Performance Tuning, Query Optimization, Cloud Services, Search Technologies, Software Engineering, SQL Databases, Data Streaming, TypeScript, WebSocket, Lexis, LangChain, ReactJS, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Prompt Engineering, Llamaindex, Backend, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, Fastapi, Event Driven Architecture, Webpack, Material UI, Kubernetes, Sentry, Production Code, AWS Fargate, Front End Software Development, Virtual Agents, Functional Programming, Api Design, Api Gateway, JestJS, Terraform, Serverless Computing, OpenSearch, Docker - **Published:** October 14, 2026 - **Apply:** https://startup.jobs/full-stack-ai-engineer-ebury-10439660 ## About the Role Must Have * 5+ years of professional software engineering experience * Strong React + TypeScript skills - you can architect complex frontend applications with good state management, performance, and testing * Strong Python backend experience - FastAPI, Django, or Flask with async programming, clean architecture, and production-grade code * System design skills - you can design scalable, maintainable systems and articulate trade-offs clearly * API design expertise - REST, WebSockets/SSE, and understanding of distributed systems patterns * Database proficiency - SQL and NoSQL (DynamoDB, PostgreSQL, OpenSearch), including query optimization and data modeling * Testing mindset - you write comprehensive tests and advocate for quality across the team * Ownership mentality - you take features from idea to production, proactively identifying and solving problems * Strong communication - you can explain complex technical concepts to engineers and non-engineers alike, and write clear documentation * Mentorship ability - you enjoy helping others grow and have experience guiding less experienced engineers Nice to Have * LLM/AI experience - 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, 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 What Sets Senior Apart We're looking for engineers who demonstrate: * Technical leadership - You don't just complete tasks; you identify the right problems to solve and influence technical direction * Systems thinking - You consider the broader context: scalability, security, observability, and maintainability * Proactive communication - You surface risks early, propose solutions, and keep stakeholders informed * Quality advocacy - You raise the bar for testing, code review, and documentation across the team * Pragmatic decision-making - You balance ideal solutions with delivery timelines, making conscious trade-offs * Continuous learning - You stay current with industry trends and bring new ideas to the team ## 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 Senior Full-Stack Engineer to help us scale our platform and raise the engineering bar. You'll architect and deliver complex features across the entire stack - from React frontends to Python backends to LLM integrations - while mentoring teammates and shaping our technical direction. 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 at scale. What You'll Do * Architect and build end-to-end features across our React frontend and FastAPI backend, making sound technical decisions that balance speed with 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 complex data sources (internal APIs, third-party services like LexisNexis, data warehouse) with robust error handling and observability * Improve platform reliability - implement monitoring, alerting, and performance optimizations for production AI systems * Mentor and uplift junior and mid-level engineers through code reviews, pairing, and technical guidance * Shape engineering practices - contribute to architecture decisions, coding standards, and team processes * Collaborate cross-functionally with Product, Design, Compliance, and other engineering teams to deliver impactful solutions Tech Stack Frontend: * React, TypeScript, Material-UI * Module Federation (Micro-frontend architecture) * Vite, Vitest Backend: * Python 3.13, FastAPI * LangGraph (AI agent orchestration) * LlamaIndex (RAG/vector search) * AWS Bedrock * DynamoDB, OpenSearch Serverless Infrastructure: * AWS (ECS Fargate, Lambda, API Gateway, S3) * Terraform, GitHub Actions * Docker, Kubernetes * Sentry, Langfuse (LLM observability), Ebury only accepts applications via official Ebury channels. We will only contact you from an @ebury.com domain. Always check the emails you receive from us, and note that we will never request payment for any part of the recruitment process. Stay safe and report suspicious activity. Notice to Recruitment Agencies and Search Firms: Ebury does not accept unsolicited resumes, CVs, or candidate profiles from recruitment agencies or search firms without signed written Ebury recruitment terms in place for a specific role. Any unsolicited applications will be considered the sole property of Ebury. Ebury will not be responsible or liable for any placement fees or costs associated with unagreed candidate submissions or subsequent hires. AI Transparency Statement: Ebury uses Artificial Intelligence (AI) and automated tools to help streamline certain parts of our recruitment process, however, these tools are strictly for administrative efficiency. All hiring decisions, including application reviews, shortlisting, and final selections are evaluated and conducted by human talent acquisition professionals and hiring managers.