Senior Full-Stack Engineer - AI Agent Platform

Senior 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 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

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)

What We're Looking For
Must Have

• 5+ years of professional software engineering experience
• Strong React + TypeScript skills
• Strong Python backend experience - FastAPI, Django, or Flask with async programming
• System design skills
• API design expertise - REST, WebSockets/SSE
• Database proficiency - SQL and NoSQL (DynamoDB, PostgreSQL, OpenSearch)
• Testing mindset
• Ownership mentality
• Strong communication
• Mentorship ability

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
• Infrastructure as Code - Terraform, CDK

What Sets Senior Apart
We're looking for engineers who demonstrate technical leadership, systems thinking, proactive communication, quality advocacy, pragmatic decision-making, and continuous learning.

Why Join Us

• Greenfield AI Product: help shape a product from early stages
• Technical Leadership: drive technical direction for a growing team
• Cutting-Edge AI: work with LangGraph, RAG, multi-agent systems in production
• Real Impact: AI agents process thousands of compliance cases
• Startup-within-Enterprise: small, autonomous team with enterprise backing