Software Engineer I - Topics Core Platform Team - Seattle

Qualtrics Qualtrics · Seattle · Seattle, WA · Engineering - Foundation

Software Engineer I role on the Topics Core Platform team, focused on building next-generation text analytics capabilities powered by AI and LLMs. The role involves working with LLMs and agentic systems, full-stack development, and collaborating across product, design, and quality engineering to deliver customer-facing features.

What you'd actually do

  1. Build and ship features that leverage LLMs and agentic systems to power Qualtrics' text analytics capabilities, working across the full stack from database to UI.
  2. Collaborate with other engineering teams in the Enrichments space to integrate your work and unblock downstream dependencies.
  3. Participate in code reviews, testing, and quality practices that keep the codebase maintainable and reliable as the team scales.
  4. Learn and apply new AI tooling and development practices alongside your teammates, contributing to the team's collective knowledge base.
  5. Contribute to the team's approach to agile development, experimenting with new ideas and iterating quickly based on what works.

Skills

Required

  • Degree in Computer Science or related technology field
  • 0 - 2 years of full time work experience in software development
  • Familiarity with software development lifecycle practices, including code reviews, testing, and collaboration with other engineers.
  • Experience with at least one modern programming language
  • willingness to learn TypeScript, Node.js, React, and Python
  • track record of shipping features or projects

Nice to have

  • Some exposure to UI development
  • worked in a full-stack environment or shown the ability to move fluidly between frontend and backend work

What the JD emphasized

  • work on features that interact with LLMs and agentic systems
  • work on cutting-edge technology
  • Work directly with LLMs and agentic systems
  • Almost every feature we build interacts with LLMs or AI systems
  • investing heavily in the agentic space
  • work on technology that excites the industry
  • Access to cutting-edge AI and LLM technology
  • work on agentic systems

Other signals

  • LLMs
  • agentic systems
  • text analytics