About the role
Our team is building the contextual knowledge stack: the foundation that captures, structures, and serves customer context so Intuit’s AI experiences understand each customer and act on it responsibly. That includes a structured memory store, activity and event modeling, and the retrieval layers that AI agents use to personalize across TurboTax, QuickBooks, and Credit Karma.
As a Software Engineer 2, you’ll design and build the services and data pipelines behind this stack. You’ll work at scale, with a high bar for privacy, data quality, and reliability, and with real ownership of what you ship.
Responsibilities
What you’ll do
Build and operate backend services, APIs, and data pipelines that ingest, structure, and serve customer context in real time and in batch
Contribute to the design of the structured memory store and the knowledge and context retrieval layers that agents use
Implement data quality, lineage, and access-control requirements so context is accurate, governed, and safe to use
Partner with product, ML, and platform teams to integrate context into AI-powered customer experiences
Write well-tested, observable, production-ready code, and take part in design reviews, code reviews, and on-call
Break down ambiguous problems, propose solutions, and deliver features end to end with growing independence
Qualifications
What you’ll bring
BS/MS in Computer Science or a related field, or equivalent experience
Show the full description
2+ years of professional software engineering experience
Strong programming skills in Java, Python, or Kotlin (or a similar language), and solid fundamentals in data structures, algorithms, and distributed systems
Experience building and running services in a cloud environment (AWS preferred)
Familiarity with data stores and streaming or messaging systems, such as Cassandra, Kafka, Flink, Spark, or graph and search stores
Comfort with CI/CD, testing, monitoring, and operating production systems
Clear communication and a collaborative approach
Nice to have
Exposure to LLMs, RAG, vector or graph retrieval, or agent and context-engineering patterns
Experience with data governance, lineage, or fine-grained access control
Experience with event-driven architectures and customer data platforms
Why join
You’ll work on foundational infrastructure for AI at Intuit, with real ownership, a direct line to product impact, and room to grow quickly.
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. The expected base pay range for this position is: San Diego $127,000 - $172,000
