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# Staff Software Engineer, Mid Market Intelligence

- **Company:** Intuit Inc.
- **Location:** Mountain View, CA, United States
- **Experience:** Experienced
- **Salary:** $202,500.0 - $274,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Automation of Tests, Big Data, Extract Transform Load (ETL), Relational Databases, Distributed Systems, Object-Oriented Software Development, Web Applications, Data Processing, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Apache Spark, Generative AI, Pyspark, Integration Tests, Kubernetes, Information Technology, Apache Kafka, Build Tools, Invoking Functions, Software Coding, Human in the Loop
- **Published:** October 18, 2026
- **Apply:** https://dejobs.org/x/x/4481A57CA57E4868BD61096B614E3E78/job/

## About the Role

* 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.

## Description

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.