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.
The Impact of a Sr. Software Engineer, Developer Experience and Productivity Engineering at Coupa:
We are seeking an experienced Senior Software Engineer to join our innovative Developer Experience and Productivity Engineering team. In this role, you will help architect, build, and enhance our sophisticated AI orchestration platform that leverages Large Language Models and integrates with various Model Context Protocol tools. You'll play a key role in developing capabilities to provide Coupa-specific intelligence through strategic integration of internal systems, knowledge bases, and custom tooling
What You'll Do:
Design and implement AI and MCP tools architecture, focusing on scalability and maintainabilityDevelop integration mechanisms that allow our AI platform to connect with MCP systems while providing a unified interfaceCreate and enhance AWS RAG systems to incorporate Coupa's institutional knowledge into AI decision-makingBuild secure connectors to internal documentation, systems, and data sourcesImplement domain-specific tools that understand Coupa's unique operational environmentOptimise tool selection and execution to ensure efficient LLM interactionsCollaborate with product managers to prioritise and implement features that deliver business valueMentor junior engineers and contribute to engineering best practicesWhat You'll Be Working On:
Building a scalable, domain-based hierarchical structure for our AI platformsCreating specialised tools that understand Coupa's unique environment and operational practicesImplementing secure knowledge integration with AWS RAG and Knowledge BasesDesigning systems that maintain tool manageability while expanding capabilitiesDeveloping contextual awareness capabilities that leverage Coupa's institutional knowledgeWhy You'll Love This Role:
Opportunity to work at the cutting edge of AI integration and orchestrationSolve complex technical challenges that have direct business impactCollaborate with a talented team passionate about AI innovationBuild systems that transform how businesses leverage AI for operational efficiencyContribute to an architecture that scales intelligently as capabilities growWork with the latest LLM technologies and help shape their application in enterprise environments
What You Will Bring to Coupa:
5+ years of professional software engineering experienceStrong proficiency in Python and RESTful API developmentExperience building and deploying cloud-native applications, preferably on AWSUnderstanding of AI/ML concepts, particularly in the context of LLMs and their applicationsSolid knowledge of software design patterns, system architecture, and performance optimisationExperience with integration of multiple complex systems and APIsStrong problem-solving skills and attention to detailExcellent communication skills and ability to explain complex technical concepts clearlyPreferred Qualifications
Experience with AI orchestration platforms or building tools for LLMsKnowledge of vector databases, embeddings, and RAG systemsFamiliarity with monitoring tools like New Relic, observability patterns, and SRE practicesExperience with Jira, Confluence, GitHub, or other DevOps tools and their APIsUnderstanding of security best practices for AI systems and data accessPrevious work with domain-driven design and microservices architectureContributions to open-source projects or developer tools
