Full Stack Engineer - AI

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 AI
• AI
• AWS
• Lambda
• Backend
• Cloud
• Django
• FastAPI
• Flask
• Flow
• Frontend
• GCP
• Support
• LLM
• NoSQL
• Python
• RAG
• REST
• React
• SQL
• Terraform
• TypeScript
• UX UI Design
• API
• Architect
• Data Warehouse
• DevOps
• GitHub
• Langfuse
• Security
• Fullstack

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 35 week of 2026