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# Software Engineer, Mid Market Intelligence

- **Company:** Intuit Inc.
- **Location:** Mountain View, CA, United States
- **Experience:** Experienced
- **Salary:** $171,000.0 - $231,500.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Business Software, Continuous Integration, DevOps, Programming Tools, Distributed Systems, JSON, Python (Programming Language), Cloud Services, Service Design, Software Engineering, Software Systems, TypeScript, Web Services, Data Processing, Retrieval-Augmented Generation, Large Language Models, Apache Spark, Event Driven Architecture, Information Technology, Apache Kafka, Invoking Functions, Software Coding
- **Published:** October 18, 2026
- **Apply:** https://intuit.avature.net/externalCareers/JobApplication?pipelineId=24612

## About the Role

Bachelor's degree in Computer Science, Engineering, or related technical field (Master's degree preferred) or equivalent work experience.

 - 6+ years of professional experience in designing and developing software solutions, with strong design and coding skills in one or more of Java, Python, or TypeScript, and experience with REST/JSON service design.

 - Hands-on experience with GenAI and agentic concepts and frameworks - LLM APIs and orchestration, prompt and context engineering, RAG/retrieval, tool use and function calling - and the ability to integrate AI into practical, production applications. Experience shipping agentic experiences is a strong plus.

 - Experience designing and building distributed systems and highly scalable web services; background in business applications (ERP, financials, or operations domains) is highly desirable.

 - Experience with data processing and event-driven architectures (e.g., Kafka, Spark) to power AI-driven experiences.

 - Advanced proficiency in cloud solutions, particularly AWS or GCP, and strong familiarity with modern CI/CD and DevOps practices.

 - Proficiency in leveraging AI-driven development tools to accelerate high-quality delivery.

 - Excellent problem-solving skills, with strong analytical abilities and the ability to make data-backed decisions through experimentation and measurement.

 - Proven experience driving collaboration across engineering, product, and design teams to deliver impactful outcomes.

 - Highly motivated, builder-minded individual who thrives in a fast-paced environment and is comfortable with ambiguity - energized by shaping a new product from the ground up.

## Description

Design and develop scalable, maintainable, and high-performing software solutions for the Mid-Market AI-native ERP - highly available, secure services and the intelligent workflows built on top of them.

 - Build AI-native product experiences leveraging state-of-the-art AI and agentic technology - LLM orchestration, tool use and function calling, retrieval (RAG), and multi-agent patterns.

 - Develop AI-native workflows that embed AI-driven automation with seamless AI-to-human collaboration, including human-in-the-loop, approvals, and explainability patterns.

 - Build systems that proactively capture data signals, prevent issues before they occur, automate processes, and improve customer decision making.

 - Collaborate with cross-functional teams - product management, design, architecture, and partner engineering teams - to gather requirements, prioritize features, and deliver end to end.

 - Instrument, evaluate, and iterate on AI-powered features in production: offline evals, online experimentation and A/B testing, and quality/safety monitoring, interpreting results to drive informed decision-making.

 - Build data pipelines and context/retrieval foundations that power AI-driven experiences, ensuring automation, consistency, and scalability.

 - Mentor and coach junior engineers, fostering collaboration, AI-assisted development practices, and a culture of innovation within the team.

 - Resolve defects across testing, pre-production, production, and post-release phases, upholding a high bar for quality and operational excellence.

 - Stay updated with developments in AI and agentic technologies - in a landscape that evolves month to month - identifying opportunities for innovation and continuous improvement.