Software Engineer 2, ARP PDX

Implement and test well-scoped features within the Eval platform — e.g., pieces of the virtualization harness, telemetry/cost dashboards, or friction-ticketing logic — under guidance from senior engineers. Help normalize capability-team use-case documentation into the common agent-readable format. Write unit and integration tests, fix bugs, and participate in code reviews and design discussions. Learn and apply prompting techniques for agent instructions in a supervised capacity, iterating on reliability and cost. Support maintenance of the CI/CD pipeline that re-runs use cases on every deploy to catch regressions.

2–4 years of professional software engineering experience (or equivalent internship experience plus strong fundamentals). Proficiency in Python or Java; familiarity with Spring Boot, GraphQL, or React is a plus. Strong CS fundamentals — data structures, algorithms, and a habit of writing tested, readable code. Curiosity about LLMs and AI agents, with willingness to learn prompting and agent-orchestration patterns on the job.

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 for building internal tooling UIs. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.