checkout.com - AI & Automation Specialist
Requirements
• We care more about what you've built and how you think than years of experience or formal credentials. • You've used Cursor, Claude Code, Copilot, or similar to build something real, a script, a tool, a side project, that solved an actual problem. Not just tutorials • Comfortable in Python, or willing to be within weeks. • Basic API fluency: you can read a doc, make a request, parse the response, and chain a few calls • Familiarity with at least one LLM API. You've written a prompt, gotten structured output back, and understood why it sometimes goes wrong • Bias to ship - you'd rather get a rough version in front of users on Friday than a polished version in three weeks • Curiosity. You're the kind of person who opens the hood - you want to understand how things work, not just use them • Workflow automation tools (Zapier, n8n, Make) • Retool, Gradio, or similar lightweight UI frameworks • Git, basic SQL, or comfort with JSON/CSV at scale • Exposure to payments, fraud, compliance, or risk operations - even tangentially • A portfolio, GitHub, or demo you can walk us through • It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. • Life at Checkout.com http://Checkout.com • We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. • Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. • For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Responsibilities
• Use AI-assisted development (Cursor, Claude Code) to prototype and ship tools for operational teams - fast. • Build workflow automations that connect case management systems, document stores, APIs, and LLMs into end-to-end pipelines • Create analyst-facing interfaces, triage tools, summary generators using self-built applications, Retool, or similar. • Apply LLMs where they reduce cognitive load: classification, case summarisation, structured extraction, decision support. • Embed with Disputes, CDD, Periodic Review, and Transaction Monitoring to learn how analysts actually work - not how the process doc says they do. • Translate vague pain points i.e "this part takes forever" into shipped tools in days or weeks, not quarters. • Demo early, iterate based on what analysts actually use versus ignore. • Treat every tool as a product: instrument usage, capture feedback, measure time saved or quality gained. • Document what you build and share reusable patterns so good ideas compound.
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