Moneybox

Senior AI Deployment Engineer

Moneybox  •  United Kingdom of Great Britain and Northern Ireland (Onsite)  •  20 days ago
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Job Description

About Moneybox

At Moneybox, our mission is to give everyone the means to get more out of life. We're guided by our belief that wealth isn't about the money, it's about the means to more - more freedom, opportunities, possibilities, and peace of mind. Moneybox is an award-winning wealth management platform, helping over one and a half million people build wealth throughout their lives, whether they’re saving and investing, buying their first home, or planning for retirement.

Job Brief

Moneybox serves more than 2M customers and runs a live service handling over 20M API requests a day. We have agreed a company-wide AI Platforms strategy and are building a new AI Deployment team to deliver on it. This is the first of several Senior AI Deployment Engineer hires, reporting to the Head of AI Platforms & Deployment.

You will be a forward-deployed senior engineer who unlocks AI-driven solutions to business problems: an expert in deploying AI and using it safely, not an ML modeller. The work is mainly Python across the modern AI engineering stack - harness engineering, skills and tool building, agent workflows and orchestration, agent hosting and sandboxing, guardrails, evals, RAG and context engineering, and tokenomics (cost, latency, model selection). Production-grade LLM system experience is the core requirement.

You will work on three types of project:

  • Departmental engagements. Embed with departments to AI-enable tasks and processes in a more sophisticated way than "just ask Claude" - for example, Python pipelines where one step is an LLM API call - delivering real incremental value with each engagement and transforming working patterns into load-bearing, AI-enabled business processes.
  • Customer-facing AI deployment. Deploy and integrate AI components built by our ML and Decisioning teams into production: the engineering implementation layer between a working model and a live customer feature.
  • AI platform capabilities. Work with the AI Platforms team to turn engagement patterns into safe, increasingly self-serve company-wide tooling.

Departments across Moneybox are already building AI tools themselves - we want to provide them with a safe path to load-bearing use at scale. This role catches that demand and matures it properly.

What You'll Do

Who You Are

Skills & Experience

Moneybox

About Moneybox

Moneybox is a wealth management platform, but we’re guided by our belief that wealth isn’t about the money. It’s about the means to more – more freedom and possibility, more opportunities and more peace of mind.

And we’re on a mission to give everyone the means to get more out of life.

Millions of us go through life feeling like we should be doing more to get on top of our money. But we leave it at the bottom of our to-do lists, because we're not sure where to get started or how to take the next step.

This isn’t surprising when:

Most of us weren’t taught about saving and investing at school.

We’re confronted by a complex, fragmented, and confusing industry.

Getting help making decisions about money has traditionally been reserved for a privileged few.

This leaves us feeling anxious and uncertain, and we end up with less money for the things that really matter to us.

At Moneybox, we believe that building wealth throughout life, and all of the freedom, opportunities, and peace of mind that come with it, should be possible for everyone.

We launched in 2016 and helped thousands of people start investing with just their spare change. Today, we’re now helping more than one million people build wealth throughout their lives. Whether they’re saving and investing, buying their first home, or planning for retirement, our customers will get a service they can rely on, that supports them through every step, and celebrates with them along the way.

Industry
Finance & Insurance
Company Size
201-500 employees
Headquarters
London, GB
Year Founded
2015
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