Staff Applied AI Engineer
Tech Stack
About the Role
ABOUT PLEO
Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike — with a vision to help all businesses 'go beyond'.
ABOUT THE ROLE
This is an exciting opportunity to help shape how Pleo builds AI-powered product features, working alongside software engineers, data engineers and data scientists to take ideas from prototype to production. Pleo has over 40,000 customers and a decade of unique spend data — an incredible foundation to build on.
WHO YOU'LL BE WORKING WITH
You'll work as part of a small, complementary data team — pairing with a Staff Data Platform Engineer and a Staff Data Scientist — each bringing distinct skills while you bring applied AI engineering and data context. While part of the Data team, you'll work embedded in product squads across the business.
WHAT YOU'LL BE DOING
As a Staff Applied AI Engineer you will:
- Work alongside product engineers and data specialists to build and ship AI-powered products including spend intelligence, automated actions, agentic workflows, and more.
- Work directly with Product, Design, Engineering, and business stakeholders to advise and prioritise on what's actually worth building.
- Own the evaluation, monitoring, and operationalisation of AI features — setting up evals, tracking drift and performance, and managing prompt changes safely in production.
- Partner with our GenAI Core platform team to define and prioritise what tooling is being built for the whole company.
WHAT YOU BRING
- Proven experience shipping GenAI features at scale in a customer-facing product. You've moved past prototype phases and ideally have experience shipping multi-step, tool-using agents in a user-facing product.
- The ability to translate complex business challenges into well-scoped AI products.
- A pragmatic mindset, with a focus on shipping value over technical perfection.
- Solid software engineering fundamentals — Python and modern data tooling preferred.
Remote across UK, Spain, Denmark, Portugal.
