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The Role
The Senior Software Engineer will design and implement AI and MCP tools, enhance cloud-native applications, and mentor junior engineers in a collaborative environment.
Summary Generated by Built In
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 Exp & 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 maintainability
- Develop integration mechanisms that allow our AI platform to connect with MCP systems while providing 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 that understand Coupa's unique operational environment
- Optimise tool selection and execution to ensure 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
What You Will Bring to Coupa:
- 5+ years of professional software engineering experience
- Strong proficiency in Python and RESTful API development
- Experience building and deploying cloud-native applications, preferably on AWS
- Understanding of AI/ML concepts, particularly in the context of LLMs and their applications
- Solid knowledge of software design patterns, system architecture, and performance optimisation
- Experience with integration of multiple complex systems and APIs
- Strong problem-solving skills and attention to detail
- Excellent communication skills and ability to explain complex technical concepts clearly
- Experience with AI orchestration platforms or building tools for LLMs
- Knowledge of vector databases, embeddings, and RAG systems
- 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
#LI-ML1
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.
Top Skills
Ai/Ml
AWS
Confluence
Git
JIRA
Microservices
New Relic
Python
Restful Api
Vector Databases
What the Team is Saying
Alex Moon
AI Trainer
Jessica Fonseca
Technical Support Specialist
Aditya Maheshwari
Cloud Quality Engineer
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The Company
What We Do
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. Coupa is the margin multiplier company.
Why Work With Us
At Coupa, we prioritize an inclusive and empathetic workplace where every voice is valued. Our teams are proactive and accountable, ensuring we collaborate effectively to achieve our goals. The foundation of our culture rests on our people; we believe in fostering an environment that encourages innovation and curiosity.
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Coupa Offices
Remote Workspace
Employees work remotely.
Our virtual-first approach is intentional. It gives you the freedom to do your best work in a space that supports focus, balance, and creativity, while staying connected to a global team of changemakers who are redefining the future of business spend
Typical time on-site:
None
Ann Arbor
Bogotá, CO
Chicago, IL
Hyderabad office
São Paulo, BR
Shivaji Nagar, IN
Tokyo Office
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