Job 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. - 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. 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: Mountain View $171,000 - $231,500

Requirements

Must-haves

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.
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.
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.
Mountain View $171,000 - $231,500

Nice-to-haves

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

Application prep

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Keywords to mirror

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Platform: career-feeds
Effort: medium