Senior Lead Software Engineer, AI Systems- 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.

🔹 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. 

About the team

Coupa's Supplier Portal (CSP) is the network where 10M+ buyers and suppliers transact. We're building agents that act on behalf of suppliers on that network — processing invoices, enriching catalogs, answering strategic questions, and helping suppliers get discovered by buyers.

The team is small, senior, and moves fast. We embed across product surfaces to identify where agents solve real problems. We operate at the frontier of what’s possible, finding where technology meets customer needs, often before it appears on the roadmap. We believe the harness is the product.

 

About the role

We're looking for a Senior Software Engineer to be the durable technical owner of the platform our supplier agents run inside. This is first and foremost a strong software engineering role — you'll design and build reliable backend services, the tool layer that wraps Coupa APIs for agent use, the execution environment that keeps supplier data isolated, audit and replay logging, and the pipeline that gets it all to production. We are hiring for engineering judgment and the ability to design, build and ship dependable systems. Familiarity with LLM-based systems.

You'll start as a strong IC partnering with the team lead on architecture, and we expect you to ramp quickly into owning core platform design yourself. This is a role for someone who wants ownership of a foundational system at the moment it's being built.

• 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.

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 deployments, IaC, and the day-two work of keeping them running.

Have built backend services, platforms, or infrastructure that other engineers or systems depend on — APIs, SDKs, runtimes, internal platforms.

Have operated what you've built in production: you understand reliability, observability, failure modes, and least-privilege security, not just the application layer.

Write clean, well-tested code and reason about latency, failure modes, and user outcomes together, not as separate concerns.

Write and speak English fluently — the team operates in English and the work is prose-heavy.

Are comfortable working near LLMs — you don't need to have shipped an AI agent, but you should be curious about the space and quick to pick it up. Familiarity with LangChain / LangGraph or similar agent frameworks is a plus.

A public GitHub, blog, or portfolio we can look at (strongly preferred — it's the fastest way for us to see how you think).

Are a daily user of agentic coding tools (Claude Code, Cursor, Codex, or equivalents).

Have shipped an LLM-powered feature or product, and have opinions about why most of them don't work.

Experience with agent frameworks, eval tooling, or production LLM observability.

Hands-on with our specific stack — AWS Bedrock / AgentCore, LangGraph, or comparable managed-LLM and sandboxed-execution infrastructure.

Experience in procurement, fintech, or another regulated enterprise domain.