At a Glance
- Tasks: Build innovative AI workflows and develop robust software solutions.
- Company: Join a cutting-edge fintech company transforming automation with AI.
- Benefits: Enjoy a competitive salary, health perks, hybrid work, and growth opportunities.
- Other info: Collaborative environment with mentorship and career advancement.
- Why this job: Make a real impact in AI while working on exciting projects.
- Qualifications: 5+ years in software engineering with strong skills in Python and React.
Location: London Victoria Office
Work Pattern: Hybrid (4 days office, 1 day remote)
Team: Flow (Core AI Infrastructure)
About the Role
Flow is our internal AI agent platform. This isn't a basic chatbot bolted onto a help center; it is core agentic infrastructure that reaches across our data warehouse, services, and central systems to execute complex work on behalf of the business. Flow powers both internal and client‑facing workflows, delivering true automation and replacing traditional ticketing queues with instant, intelligent actions. We are looking for a Senior Full-Stack Engineer to help us transition Flow from a fast‑moving internal product to durable, productionized platform infrastructure. You will own complex features end‑to‑end—including agent workflows, reasoning UIs, and cross‑system integrations—while raising the engineering bar and shaping the technical direction of a small, autonomous team. This role sits at the intersection of agentic AI and live operational workflows within a regulated fintech environment. The surface area is the entire company, and your impact will be visible within weeks.
What You'll Do
- Build Action‑Oriented Agent Workflows: Design multi‑step orchestration, tool use, and retrieval grounded in our data stores using the Strands Agents SDK.
- Architect End‑to‑End Features: Own development across a React/TypeScript frontend and Python/FastAPI backend, balancing rapid iteration with platform maintainability.
- Own the Reasoning Layer: Extend our Chain‑of‑Thought UI to ensure explainability.
- Make Agents Measurably Reliable: Build and extend our evaluation harness (Ragas) and observability platform (Langfuse, with session continuity).
- Define Evaluation Strategies: Build custom evaluators, datasets, benchmarks, and automated regression suites to catch quality regressions before they hit production.
- Integrate Systems & Clouds: Connect internal APIs, data warehouses, email, and cross‑cloud GCP/AWS services with robust error handling and distributed tracing.
- Industrialize Prototypes: Drive the discover → industrialize → productionize lifecycle, turning promising AI prototypes into hardened, daily‑deployed services on CD pipelines.
- Mentor & Lead: Uplift mid‑level engineers through code reviews, pair programming, and establishing scalable engineering patterns.
- Collaborate Cross‑Functionally: Partner with Product, Ops, Trading, and Treasury to identify high‑value workflows worth automating.
The Tech Stack
- Frontend: React, TypeScript, Micro‑frontend architecture, Chain‑of‑Thought / Agent‑reasoning UI, Vite, Vitest.
- Backend & AI: Python, FastAPI, Strands Agents SDK, AWS Bedrock, RAG / Advanced Retrieval, Ragas (Evaluation), Langfuse (LLM Observability).
- Infrastructure: AWS (ECS Fargate, Lambda, API Gateway, S3) with cross‑cloud GCP integration, Terraform, GitHub Actions, Docker, Event‑driven integration patterns.
What We're Looking For
Must‑Haves:
- 5+ years of professional software engineering experience.
- Strong Python Backend Expertise: Deep experience with FastAPI (or Django/Flask), asynchronous programming, clean architecture, and writing production‑grade code.
- Strong React & TypeScript Skills: Ability to architect non‑trivial frontends with sound state management, performance optimization, and comprehensive testing.
- System Design Judgment: A proven track record of designing scalable, maintainable systems and clearly articulating architectural trade‑offs.
- API & Integration Skills: Proficiency with REST, streaming (SSE/WebSockets), and the real‑world complexities of stitching together messy upstream systems.
- Data Proficiency: Strong SQL/NoSQL skills, query optimization, and data modeling.
- Testing & Ownership Mindset: You treat testing as a core part of the development lifecycle and proactively drive features from ambiguous ideas to production.
- Excellent Communication: Ability to explain technical decisions to both engineers and non‑technical stakeholders, alongside a passion for writing useful documentation.
Nice‑to‑Haves:
- Agentic AI Experience: Hands‑on experience with agent orchestration (Strands, LangGraph, AutoGen, or similar), RAG, tool use, and context engineering.
- Production LLM Systems: Familiarity with LLM observability (Langfuse), evaluation (Ragas), token/cost management, and reliability patterns.
- AWS Depth: Experience with Lambda, ECS, Bedrock, or equivalent cloud services (cross‑cloud exposure is a major plus).
- Event‑Driven Architectures: Experience with event streaming and message brokers.
- Regulated Environments: Experience working within fintech, compliance, or similar sectors with strict data‑residency and auditability constraints.
- Micro‑frontends & IaC: Experience with micro‑frontend architecture and Infrastructure as Code (Terraform/CDK).
Full stack Engineer - AI employer: ebury anz
At our London Victoria office, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to innovate and excel. As a Senior Full-Stack Engineer on the Flow team, you will not only have the opportunity to work on cutting-edge AI technology but also benefit from a hybrid work model that promotes work-life balance. We are committed to your professional growth, offering mentorship and collaboration across teams, ensuring that your contributions have a meaningful impact on our operations and client solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Full stack Engineer - AI
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Full stack Engineer - AI
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at ebury anz.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at ebury anz and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at ebury anz
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If ebury anz uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
