Senior Lead Software Engineer, AI Systems- 11509
TLDR
Design and build backend services for the agent platform, own production deployment and security, and ship supplier-facing use cases.
-
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.
Benefits
Experience in procurement, fintech, or regulated enterprise
Experience in procurement, fintech, or another regulated enterprise domain.
Remote-Friendly
Fully remote role
Coupa builds a powerful total spend management platform that leverages community-generated AI to help businesses optimize their margins. Designed for organizations of all sizes, Coupa's technology is driven by trillions of dollars in spend data, connecting over 10 million buyers and suppliers across a global network.
- Founded
- Founded 2006
- Employees
- 500+ employees
- Industry
- Internet Software & Services
- Total raised
- $170M raised