Job description

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. The expected base pay range for this position is: Mountain View $202,500 - $274,000

Requirements

Must-haves

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.
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.
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.
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: career-feeds
Effort: medium