Senior Software Engineer - Internal AI Agent Infrastructure
About The Position
The Internal AI Agent Infrastructure team builds an internal cloud agent platform that enables Qualtrics engineers to use AI agents running on company infrastructure. The role contributes to the platform, including support for Press Ganey users with a different GitLab instance, and work on the MCP gateway that connects approved tools and services for internal use. The platform enables AI capabilities while maintaining security and governance requirements. The engineer works with a senior engineering team and responds to feedback from engineers across Qualtrics. The role focuses on improving developer experience and platform capabilities, expanding support to additional repositories, governing MCP integrations, and ensuring security and reliability. The engineer owns features from design and implementation through release and follow-up maintenance, partnering with internal users and the security team to guide improvements.
Requirements
- At least 5 years of software development experience.
- Experience improving developer experience, such as building, buying, or integrating tools for internal engineering teams.
- Hands-on expertise with modern AI tooling, including MCP servers, agent skills, and agent harnesses, and using AI agents in daily work.
- Track record of designing and building scalable platforms and reliable, maintainable systems and processes.
- Experience partnering directly with internal users to gather feedback, measure adoption, and turn pain points into product improvements.
- Strong ownership and communication skills, including driving cross-team initiatives, writing clear technical documentation, and helping other engineers adopt tools and practices.
- Deep knowledge of agent concepts such as MCPs, skills, and harnesses.
Nice To Haves
- Machine learning experience.
Responsibilities
- Design and implement new platform features based on engineering needs and feedback.
- Expand platform access by supporting additional GitLab instances and other repositories.
- Manage and govern the MCP Gateway, which controls internal MCP integrations.
- Partner with the security team to ensure new tooling is compliant and appropriate administrative controls are in place.
- Identify platform bottlenecks and make changes to improve usage and reliability.
- Own delivered features through release and address resulting bugs and technical debt.
- Follow developments in AI tooling and evaluate how they could be applied to the platform.
- Gather feedback from engineers and use it to shape platform improvements and roadmaps.
- Drive cross-team initiatives, document technical approaches, and help engineers adopt tools and practices.
Benefits
- Medical, dental, vision, life, and disability benefits.
- 401(k) with match.
- Paid time off.
- Wellness reimbursement.
- Mental health benefits.
- Education budget.
- QED (Qualtrics Engineer Development) Program, which encourages engineers to invest up to 10% of their time each quarter in career development.
- Quarterly team offsites.
- Office amenities, food, drinks, outdoor space, and pinball.
- A sign-on bonus and restricted stock units may be included in an employment offer.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
