Base Salary
$171k - $232k/yr
Responsibilities
- Design and develop scalable, maintainable, highly available, secure software services and intelligent workflows for the mid-market AI-native ERP.
- Build AI-native product experiences using LLM orchestration, tool use, function calling, retrieval-augmented generation, and multi-agent patterns.
- Develop AI-driven workflows supporting automation, human-in-the-loop collaboration, approvals, and explainability.
- Build systems that capture data signals, prevent issues, automate processes, and improve customer decision-making.
- Collaborate with product management, design, architecture, and partner engineering teams to deliver end-to-end features.
- Instrument, evaluate, and iterate on AI features using offline evaluations, online experimentation, A/B testing, and quality and safety monitoring.
- Build data pipelines and context and retrieval foundations for scalable AI-driven experiences.
- Mentor and coach junior engineers and promote AI-assisted development practices.
- Resolve defects across testing, pre-production, production, and post-release phases.
- Track developments in AI and agentic technologies and identify opportunities for continuous improvement.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent work experience; a master’s degree is preferred.
- 6+ years of professional experience designing and developing software solutions.
- Strong design and coding skills in one or more of Java, Python, or TypeScript.
- Experience with REST/JSON service design, distributed systems, and highly scalable web services.
- Hands-on experience with generative AI and agentic concepts, including LLM APIs and orchestration, prompt and context engineering, retrieval-augmented generation, tool use, and function calling.
- Experience integrating AI into practical production applications; experience shipping agentic experiences is preferred.
- Experience with business applications such as ERP, financials, or operations domains is highly desirable.
- Experience with data processing and event-driven architectures such as Kafka and Spark.
- Advanced proficiency with cloud solutions, particularly AWS or GCP, and familiarity with modern CI/CD and DevOps practices.
- Proficiency using AI-driven development tools and experience making data-backed decisions through experimentation and measurement.
- Proven ability to collaborate across engineering, product, and design teams and mentor junior engineers.
Benefits
- The position may be eligible for a cash bonus, equity rewards, and benefits under applicable plans and programs.
- Expected base pay is $171,000–$231,500 annually for Mountain View; pay varies based on job-related knowledge, skills, experience, and work location.
Categories
About Intuit
Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief. We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations.