Artificial Intelligence Engineer

Building AI systems to impact revenue-critical workflows.

💫 Company | Fintech, eCommerce / Payments Infrastructure

📏 Size | ~600 globally, ~60 in London

🧢 Role | Senior / Staff AI Engineer

🎯 Areas | agentic systems, internal AI platforms, workflow automation

✨ Skills | Python, LLMs, MCP, RAG, AWS / GCP

📍 Based | Holborn, London

💻 Hybrid | 3 days a week in-office

💰 Offer | £120–150k + bonus + RSUs + 4.5 day work week

We're partnering with a company you likely haven’t heard of by name, but have almost certainly interacted with before. Their technology helps tackle online fraud. Every time you use your debit or credit card online, their platform makes your end-to-end purchasing journey safer.

They’re now investing heavily in AI across the business. A lot of internal workflows today are still manual, fragmented, and time-consuming. The goal is to replace these with AI systems and agents that automate real processes.

You'll be:

• exploring where AI and automation can meaningfully improve real-world operations
• working with users (Sales, Marketing, Legal, GTM teams) to shape requirements
• building and delivering dependable agents, workflows, and systems end-to-end
• balancing latency, cost, and reliability

Why this role is interesting:

• The systems are tied directly to revenue and business performance
• You’ll work on problems where AI has clear, immediate application
• There’s real ownership and visibility across the organisation
• The team is small, experienced, and moving quickly

They're looking for someone who has:

• strong software engineering fundamentals (Python / Go / JavaScript)
• built or deployed production-grade agentic / LLM-based systems
• the ability to work with non-technical stakeholders
• experience with cloud platforms (AWS / GCP)

If this sounds like you, apply to learn more about the company and the role.