Staff Software Engineer, Mid Market Intelligence

Come join the GBSG Mid-Market Intelligence team as a Staff Software Engineer! Mid-Market is one of the fastest growing segments of the business, and the Intelligence team sits at the heart of our mission to build the industry's first truly AI-native ERP. You'll help build the intelligence layer that powers AI-native product experiences - where agents, automation, and seamless AI-to-human collaboration are designed in from the ground up, not bolted on.

As a Staff Engineer, you will tackle our most complex technical challenges, leveraging the state of the art in AI and agentic technology to deliver end-to-end solutions with a dedicated one-team mindset. You will serve as a technical leader who influences product and engineering strategy across teams, fundamentally changing how mid-market businesses run their operations.

Responsibilities

• Solve ambiguous customer problems with robust and elegant AI-native technical solutions.
• Leverage state-of-the-art AI and agentic technology - LLM orchestration, multi-agent systems, tool use, retrieval, and evaluation frameworks - to enable AI-native product experiences.
• Lead the design and implementation of intelligent systems from concept to production: AI-native workflows that embed AI-driven automation with seamless AI-to-human collaboration (human-in-the-loop, approvals, explainability).
• Build systems that proactively capture data signals, prevent issues before they occur, automate processes, and improve customer decision making.
• Drive engineering excellence as the technical lead in peer reviews for estimates, designs, and code - including the evaluation, safety, and observability standards required for production AI systems.
• Apply technical expertise to mentor engineers and solve complex programming challenges, including AI-assisted development practices.
• Contribute directly to the overarching design and architecture of the Mid-Market intelligence platform.
• Make data-backed decisions - drive the right level of instrumentation, offline evals, and online experimentation for AI-powered features.
• Resolve defects across testing, pre-production, production, and post-release phases.
• Partner with product management, design, and other business units to influence product and technical solutions across teams.
• Utilize Agile and Scrum methodologies to ensure high-velocity, iterative delivery.
• Champion a one-team mindset to deliver impactful customer results.

Qualifications

• BS/MS in Computer Science or related area or equivalent experience.
• 7+ years of experience architecting and developing high-scale distributed systems and web applications.
• Strong, demonstrated background in applied AI - both traditional ML and Generative AI. Hands-on development and production rollout of agentic experiences is a huge plus.
• Experience with modern AI/agentic building blocks: LLM APIs and orchestration frameworks, prompt and context engineering, RAG/retrieval, tool use and function calling, multi-agent architectures, and evaluation/guardrail frameworks.
• 7+ years of experience with object-oriented languages; strong design and coding skills in Java and Python.
• Strong background in data processing and data movement (e.g., Spark/PySpark, Kafka, feature/vector stores) to power AI-driven experiences.
• Experience instrumenting, evaluating, and iterating on AI systems in production - offline evals, online experimentation, and quality/safety monitoring.
• Proficiency in leveraging AI-driven tools to accelerate development.
• Proven experience with test automation including TDD and comprehensive integration testing.
• Strong background in relational database design and large-scale data implementation.
• Demonstrated ability to mentor engineers and act as a technical leader across teams.
• Proven leadership in guiding technical discussions and driving cross-functional alignment.
• Excellent communication skills with the ability to act as the technical go-to person for all stakeholders.
• Deep understanding of software engineering fundamentals and their practical application.
• Proactive builder mindset with a focus on delivering high-impact, end-to-end solutions - energized by ambiguity and a space where the AI landscape evolves month to month.

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.

Mountain View $202,500 - $274,000