Intuit
Senior Software Engineer, Mid Market Intelligence
- Compensation
- Not disclosed
- Location
- Mountain View, California, United States
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- - 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
- - 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 int
- - 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.
- 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 o
Full description
GBSG Mid-Market, one of Intuit's fastest-growing segments, is seeking a Senior Software Engineer to help build the industry's AI-native ERP. This is an opportunity to come in at the ground floor and shape both the product and the technology foundation — reimagining how mid-market businesses run their operations with AI at the core. In this role, you will leverage the state of the art in AI and agentic technology to build AI-native product experiences, working at the intersection of intelligent agents, business-critical workflows, and enterprise-scale development.
If you are passionate about building world-class products, have hands-on experience with Java, Python or TypeScript, modern service architectures, and AI technologies, and are keen to tackle complex business and agentic challenges, this is the opportunity for you!
Responsibilities
- 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.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or related technical field (Master's degree preferred) or equivalent work experience.