Software Engineer

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
• 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