Senior Software Engineer - Internal AI Agent Infrastructure
Qualtrics
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This role on the market
2,516 open infrastructure roles across 347 companies are on ApplySarthi right now, most of them in Bengaluru (141), Hyderabad (26), Delhi NCR (13).
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What infrastructure roles keep asking for: AWS (30%), Python (30%), Observability (25%), Kubernetes (24%), System design (24%), Linux (20%), Terraform (19%), CI/CD (17%) — counted across their open postings here.
Software Engineer jobs in the United States · Software Engineer jobs in Seattle · Remote Software Engineer jobs · Machine learning jobs · Product management jobs
Qualtrics has 109 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for infrastructure roles keep coming back to AWS, Python, Observability, Kubernetes. Practise those questions before you sit with Qualtrics.
Questions you are likely to be asked
- Why do you want to join Qualtrics?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Senior Software Engineer - Internal AI Agent Infrastructure at Qualtrics interview free →- Take initiative, be a self-starter, and propose ideas to move the team forward.
- Follow the latest industry trend changes in AI tooling and research how they could be applied to the platform.
- Possessing deep knowledge of agent concepts such as MCPs, skills, harnesses, and more.
- Advocate for changes that can improve platform usage, speed, or reliability.
- Use feedback from engineers to help shape platform work.
- Take responsibility for features through release and follow-up bug fixes.
- Develop experience building and maintaining an internal cloud agent platform.
- Learn about AI tools and developments by evaluating how they can be used at Qualtrics.
- Understand how to build and maintain security controls and provide AI governance to an enterprise.
- Hone your product management skills by learning the needs of our engineers to build out roadmaps boosting their productivity.
- Improve the platform by designing and implementing new features based on engineering needs and feedback.
- Expand access to the platform by supporting new GitLab instances and other repositories.
- Enable internal tool use by managing and governing our MCP Gateway which controls all MCP integrations.
- Partner with our security team to ensure all new toolings are compliant and adequate admin controls are in place.
- Proactively improve platform use and reliability by identifying bottlenecks and making changes to address them.
- Own delivered features through release and address bugs and technical debt that arise.
- Experience improving developer experience (DevEx), such as building, buying, or integrating tools for internal engineering teams.
- Hands-on expertise with modern AI tooling, including MCP servers, agent skills, agent harnesses, and using AI agents in your daily workflow.
- A track record of designing and building platforms that scale, along with 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 new tools and practices.
- Machine learning experience is a plus, not a requirement.
- 5+ years of software development experience.
- The team has 6 people, all at senior level or above, and has an on-call rotation.
- Work is mostly focused coding, with a daily standup and usually about one weekly team discussion or design review.
- The team moves fast; we have at least one notable change each week that impacts all of engineering.
- The team uses feedback from engineers to guide platform improvements.
- The team's work includes reviewing new AI developments and considering how to make them usable by other engineers.
- Fun and collaborative office environment with in office amenities, food, drinks, outdoor space, and of course, pinball!
- Quarterly team offsites, giving developers a chance to interact with each other outside of the office and build camaraderie.
- Education budget you can flexibly spend on topics that interest you.
- QED (Qualtrics Engineer Development) Program encourages all engineers to invest in themselves up to 10% of their time each quarter to advance their careers.
For full-time positions, this pay range is for base per year; however, base pay offered within this range may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer. Full-time employees are eligible for medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, and mental health benefits. For a detailed look at our benefits, visit Qualtrics US Benefits.
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Listed on greenhouse · posted 2026-11-09. ApplySarthi collects openings and links to application pages; the role is advertised by Qualtrics, not by us.