About this role
Salary: £75,000 - 80,000 per year
Requirements: 5+ years of professional software engineering experience.Strong Python backend expertise with FastAPI or Django/Flask, asynchronous programming, clean architecture, and production-grade code.Strong React and TypeScript skills, including architecture of non-trivial frontends, sound state management, performance optimization, and comprehensive testing.Proven system design judgment with experience designing scalable, maintainable systems and explaining architectural trade-offs.Proficiency with REST, streaming APIs such as SSE/WebSockets, and integrating complex upstream systems.Strong SQL and NoSQL skills, query optimization, and data modeling experience.Testing and ownership mindset, with the ability to drive features from ambiguous ideas to production.Excellent communication skills, including the ability to explain technical decisions to technical and non-technical stakeholders and write useful documentation.Experience with agentic AI, RAG, tool use, context engineering, or similar frameworks is a plus.Familiarity with production LLM systems, including observability, evaluation, token/cost management, and reliability patterns is a plus.Experience with AWS services such as Lambda, ECS, or Bedrock, with cross-cloud exposure as a plus.Experience with event streaming and message brokers is a plus.Experience working in fintech, compliance, or other regulated environments is a plus.Experience with micro-frontend architecture and Infrastructure as Code such as Terraform or CDK is a plus. Responsibilities: Design multi-step agent workflows, tool use, and retrieval grounded in our data stores using the Strands Agents SDK.Own end-to-end development across a React/TypeScript frontend and Python/FastAPI backend.Extend our Chain-of-Thought UI to ensure explainability in a regulated environment.Build and extend our evaluation harness and observability platform so we ship changes based on evidence.Create custom evaluators, datasets, benchmarks, and automated regression suites to catch quality regressions before production.Connect internal APIs, data warehouses, email, and cross-cloud GCP/AWS services with robust error handling and distributed tracing.Turn promising AI prototypes into hardened, daily-deployed services through the discover, industrialize, productionize lifecycle and CD pipelines.Mentor mid-level engineers through code reviews, pair programming, and scalable engineering patterns.Collaborate with Product, Ops, Trading, and Treasury to identify and prioritize high-value automation workflows. Technologies: Agentic AIAIAWSLambdaBackendCloudDjangoFastAPIFlaskFlowFrontendGCPSupportLLMNoSQLPythonRAGRESTReactSQLTerraformTypeScriptUX UI DesignAPIArchitectData WarehouseDevOpsGitHubLangfuseSecurityFullstack More:
We are Ebury, a fast-growing fintech helping ambitious businesses operate and scale globally through integrated business accounts, hedging, and financing on a single platform. We bring together 2000+ Eburians across nearly 70 cities and foster a culture of innovation, collaboration, inclusion, and support where everyone can belong and succeed. This role is for our Flow team in London Victoria, working in a hybrid pattern of 4 days in the office and 1 day remote. Flow is our internal AI agent platform and core AI infrastructure, powering internal and client-facing workflows across the business.
last updated 36 week of 2026