$ cat jobs/sr-lead-ai-engineer-11509-coupa-software-inc-a75364040caa.json
Sr. Lead AI Engineer - 11509
Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins. Why join Coupa? 🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend. 🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence. 🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other. Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa. What You'll Do: Design and build the backend services behind the agent platform — the tool layer over Coupa APIs, context/state management, and the execution environment that keeps supplier data isolated. Build the evaluation and logging pipeline: how we measure behavior, catch regressions, and turn production failures into fixed behaviors. Partner with product and engineering to ship the first supplier-facing use cases (invoicing, catalog, strategic views) on the platform you build. Own how the platform reaches production — deployment, configuration, scaling, and staying secure. Make architectural calls on runtime isolation, credential handling, audit logging, and tenant separation. Raise the engineering bar for the team — code quality, testing, and operational discipline. What You Will Bring to Coupa: Have 6+ years shipping production software and are strong in Python (TypeScript a plus). Have built and operated services on a major cloud ( AWS preferred) — containerized d
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