> Markdown version of [/jobs/ext/4715121-software-engineer](https://www.wearedevelopers.com/jobs/ext/4715121-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** Intuit Inc. - **Location:** San Diego, CA, United States - **Experience:** Experienced - **Salary:** $127,000 - $172,000 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Cloud Computing, Computer Programming, Continuous Integration, Customer Data Management, Data Governance, Data Structures, Data Stores, Distributed Systems, Python (Programming Language), Enterprise Messaging Systems, Software Engineering, Data Streaming, Retrieval-Augmented Generation, Large Language Models, Apache Spark, Kotlin, Event Driven Architecture, Apache Flink, Cassandra, Apache Kafka - **Published:** November 14, 2026 - **Apply:** https://intuit.avature.net/externalCareers/JobApplication?pipelineId=25020 ## About the Role * 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 ## Description 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