Senior Software Engineer – Developer Experience and Productivity Engineering

Job not on LinkedIn

September 13

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Logo of Coupa Software

Coupa Software

SaaS • Finance • eCommerce

Coupa Software is a leading provider of business spend management solutions. Their platform focuses on optimizing and transforming direct and indirect spend across procurement, finance, supply chain, and IT. Coupa leverages AI and extensive data insights to drive cost efficiencies, manage supplier relationships, and mitigate risks. With products covering areas such as invoicing, payments, expense management, and supply chain collaboration, Coupa serves a wide range of industries including automotive, healthcare, retail, and more. Their comprehensive community and partner ecosystem enable organizations to unlock hidden savings and improve compliance, promoting growth and resilience in a changing economic climate.

1001 - 5000 employees

Founded 2006

☁️ SaaS

💸 Finance

🛍️ eCommerce

📋 Description

• Architect, build, and enhance Coupa's AI orchestration platform that leverages Large Language Models • Design and implement AI and Model Context Protocol (MCP) tools architecture focused on scalability and maintainability • Develop integration mechanisms to connect the AI platform with MCP systems and provide a unified interface • Create and enhance AWS RAG systems to incorporate Coupa's institutional knowledge into AI decision-making • Build secure connectors to internal documentation, systems, and data sources • Implement domain-specific tools tailored to Coupa's operational environment • Optimise tool selection and execution for efficient LLM interactions • Collaborate with product managers to prioritise and implement features that deliver business value • Mentor junior engineers and contribute to engineering best practices

🎯 Requirements

• 5+ years of professional software engineering experience • Strong proficiency in Python • Experience with RESTful API development • Experience building and deploying cloud-native applications, preferably on AWS • Understanding of AI/ML concepts, particularly LLMs and their applications • Experience with AI orchestration platforms or building tools for LLMs • Knowledge of vector databases, embeddings, and RAG systems • Solid knowledge of software design patterns, system architecture, and performance optimisation • Experience with integration of multiple complex systems and APIs • Familiarity with monitoring tools like New Relic, observability patterns, and SRE practices • Experience with Jira, Confluence, GitHub, or other DevOps tools and their APIs • Understanding of security best practices for AI systems and data access • Previous work with domain-driven design and microservices architecture • Contributions to open-source projects or developer tools • Strong problem-solving skills and attention to detail • Excellent communication skills and ability to explain complex technical concepts clearly

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