Responsibilities
- Implement and test well-scoped features for the Eval platform, including virtualization harness components, telemetry and cost dashboards, and friction-ticketing logic.
- Normalize capability-team use-case documentation into a common agent-readable format.
- Write unit and integration tests, fix bugs, and participate in code reviews and design discussions.
- Apply prompting techniques for agent instructions under supervision while improving reliability and cost.
- Maintain the CI/CD pipeline that reruns use cases after each deployment to detect regressions.
Requirements
- 2–4 years of professional software engineering experience or equivalent internship experience with strong fundamentals.
- Proficiency in Python or Java.
- Strong computer science fundamentals in data structures and algorithms, with experience writing tested and readable code.
- Curiosity about LLMs and AI agents and willingness to learn prompting and agent-orchestration patterns.
- Coursework, projects, or internship experience involving AI/ML or LLM APIs.
- Exposure to CI/CD pipelines, Docker, or basic virtualization concepts.
- Familiarity with GraphQL and React; Spring Boot experience is a plus.
Benefits
- Competitive compensation package with a pay-for-performance rewards approach.
- Potential eligibility for cash bonus, equity rewards, and benefits under applicable plans and programs.
About Intuit
Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief. We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations.