Coupa2mo ago

Sr. Lead AI Engineer - 11509

Mexico·Mexico CityRemoteMid-Senior Levelsenior

OtherLead Ai Engineer

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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.

Design and build the agent harness — skill loading, tool invocation, context management, the execution sandbox, compaction patterns and sub-agents.

Stand up the evaluation pipeline: how we measure skill effectiveness, catch regressions, and turn production failures into fixed behaviors.

Partner with product and engineering to ship the first 3–5 supplier-facing use cases (invoicing, catalog, strategic views) on top of the platform you build.

Define and maintain the cloud deployment and configuration for the platform. How it gets to production, how it scales, and how it stays secure.

Make architectural calls on runtime isolation, credential handling, audit logging, and tenant separation, in collaboration with DevOps specialists.

Raise the bar for the rest of the team on how to build with agentic tooling, what to automate, what to verify, and what to leave to humans.

6+ years of experience shipping production software with strong proficiency in Python and/or TypeScript.

Deep engineering expertise across CI/CD, APIs, Infrastructure as Code (IaC), and modern cloud infrastructure.

Hands-on experience deploying and operating containerized services in production, with a strong understanding of networking, infrastructure, secrets management, and least-privilege IAM.

Experience building platform or infrastructure tooling that other engineers rely on, such as CLIs, runtimes, or internal developer platforms.

Proven experience delivering at least one LLM-powered product to production, with a strong understanding of what makes AI products successful in the real world.

Extensive experience using agentic coding tools such as Claude Code, Cursor, Codex, or similar, with a clear point of view on how to use them effectively.

A passion for building beyond work, demonstrated through meaningful side projects or personal products—particularly those accelerated by modern AI tooling.

Strong systems thinking, with the ability to balance model performance, latency, reliability, cost, and user experience when designing solutions.

Excellent written and verbal English communication skills, as the team collaborates and documents extensively in English.

Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees.

Please be advised that inquiries or resumes from recruiters will not be accepted.

By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy.