Sr. Software Engineer, Developer Experience and Productivity Engineering -10451
coupa-software-inc-ats-1 Sr. Software Engineer, Developer Experience and Productivity Engineering -10451
Description
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
- Building a scalable, domain-based hierarchical structure for our AI platforms
- Creating specialised tools that understand Coupa's unique environment and operational practices
- Implementing secure knowledge integration with AWS RAG and Knowledge Bases
- Designing systems that maintain tool manageability while expanding capabilities
- Developing contextual awareness capabilities that leverage Coupa's institutional knowledge
- Opportunity to work at the cutting edge of AI integration and orchestration
- Solve complex technical challenges that have direct business impact
- Collaborate with a talented team passionate about AI innovation
- Build systems that transform how businesses leverage AI for operational efficiency
- Contribute to an architecture that scales intelligently as capabilities grow
- Work 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 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
- Global Wellness Days: Enjoy two designated, company-wide paid wellness days off each year (typically the first Friday in March and the last Friday in September) so the entire global team can unplug, step away, and recharge together .
- Birthday Time-Off: Celebrate your day! Coupa provides a paid day off on your birthday or another day of your choice within your birthday month .
- Volunteer Time Off (VTO): Giving back is in our DNA. We offer 40 hours of paid VTO annually to support the community initiatives and volunteer programs you are passionate about .
- Employee Assistance Program (EAP): Access free, confidential, 24/7/365 counseling and resources for emotional support, work-life solutions, financial advice, legal guidance, and support for new parents .
- Business Travel Protection: Travel with peace of mind. Zurich Travel Assist provides medical, safety, pre-trip planning, and emergency support during any business travel .
- Referral Bonus Program: Share the Coupa experience! Receive generous monetary referral bonuses when you successfully refer talented friends or acquaintances who are hired into open roles .