Senior Full-Stack Engineer | AI-Driven FinTech Platform

Requirements

• 5+ years of professional software engineering experience

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• Strong React + TypeScript skills – you can architect complex frontend applications with good state management, performance, and testing

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• Strong Python backend experience – FastAPI, Django, or Flask with async programming, clean architecture, and production-grade code

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• System design skills – you can design scalable, maintainable systems and articulate trade-offs clearly

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• API design expertise – REST, WebSockets/SSE, and understanding of distributed systems patterns

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• Database proficiency – SQL and NoSQL (DynamoDB, PostgreSQL, OpenSearch), including query optimization and data modeling

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• Testing mindset – you write comprehensive tests and advocate for quality across the team

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• Ownership mentality – you take features from idea to production, proactively identifying and solving problems

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• Strong communication – you can explain complex technical concepts to engineers and non-engineers alike, and write clear documentation

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• Mentorship ability – you enjoy helping others grow and have experience guiding less experienced engineers

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• (Desirable) LLM/AI experience – LangChain, LangGraph, RAG pipelines, prompt engineering, or fine-tuning

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• (Desirable) Production AI systems – experience with LLM observability (Langfuse), token management, streaming, and reliability patterns

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• (Desirable) AWS expertise – Lambda, ECS, DynamoDB, OpenSearch, Bedrock, or similar cloud services

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• (Desirable) Streaming architectures – SSE, WebSockets, event-driven systems

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• (Desirable) Fintech/compliance background – AML, sanctions screening, KYC, or regulated industry experience

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• (Desirable) Micro-frontend experience – Module Federation, independent deployability

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• (Desirable) Infrastructure as Code – Terraform, CDK, or similar

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• Technical leadership – You don’t just complete tasks; you identify the right problems to solve and influence technical direction

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• Systems thinking – You consider the broader context: scalability, security, observability, and maintainability

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• Proactive communication – You surface risks early, propose solutions, and keep stakeholders informed

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• Quality advocacy – You raise the bar for testing, code review, and documentation across the team

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• Pragmatic decision-making – You balance ideal solutions with delivery timelines, making conscious trade-offs

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• Continuous learning – You stay current with industry trends and bring new ideas to the team

What the job involves

• We’re building an AI-powered financial crime investigation platform that’s transforming how Ebury’s compliance teams work

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• Our AI agents will process thousands of screening cases, reducing analyst workload while maintaining regulatory standards

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• We’re looking for a Senior Full-Stack Engineer to help us scale our platform and raise the engineering bar

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• 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

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• 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

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• Architect and build end-to-end features across our React frontend and FastAPI backend, making sound technical decisions that balance speed with maintainability

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• Design AI agent workflows using LangGraph for screening automation, RAG pipelines, and multi-agent orchestration

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• Lead technical initiatives – own complex features from design to production, breaking down ambiguous problems into actionable work

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• Integrate complex data sources (internal APIs, third-party services like LexisNexis, data warehouse) with robust error handling and observability

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• Improve platform reliability – implement monitoring, alerting, and performance optimizations for production AI systems

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• Mentor and uplift junior and mid-level engineers through code reviews, pairing, and technical guidance

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• Shape engineering practices – contribute to architecture decisions, coding standards, and team processes

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• Collaborate cross-functionally with Product, Design, Compliance, and other engineering teams to deliver impactful solutions

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• Greenfield AI Product: You’ll help shape a product from early stages, not maintain legacy code. Your architectural decisions will have lasting impact

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• Technical Leadership: Drive technical direction for a growing team. Mentor engineers and establish patterns that scale

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• Cutting-Edge AI: Work with the latest LLM technologies in production – LangGraph, RAG, multi-agent systems, and more

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• Real Impact: Our AI agents process thousands of compliance cases. You’ll see your work making a difference within weeks

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• Startup-within-Enterprise: Small, autonomous team with startup speed, backed by enterprise resources and stability

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