Staff Software Engineer, Mid Market Intelligence
- Location
- Mountain View, California, United States
- Work mode
- On-site
- Employment type
- Full-time
About the job
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 <a href='https://www.intuit.com/careers/benefits/full-time-
From Intuit's careers page (Company careers page), checked 28 Oct 2026.
How to apply
- Select Apply on intuit.com. It opens Intuit's own application form in a new tab, run on Company careers page.
- Fill in the form and upload your résumé there. Jobiwork never sees your application.
- Intuit will reply to you directly. No real employer asks you for money to apply.
Posted 16 Oct 2026 · checked 28 Oct 2026 · Report this job