Job description

Come join the GBSG Mid-Market Intelligence team as a Software Engineer 2. 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 truly AI-native ERP — where agents, automation, and seamless AI-to-human collaboration are designed in from the ground up, not bolted on. You will help build the intelligence layer that powers AI-native product experiences, leveraging state-of-the-art AI and agentic technology to change how mid-market businesses run their operations. Responsibilities - Successful delivery of high-quality software for the Mid-Market intelligence platform — requirements, design, code, tests, and documentation — spanning services, data pipelines, and AI-native workflows. - Roughly 80-95% hands-on coding, leveraging AI-driven development tools and agents as a core part of your craft, and validating AI-generated output to the same standard as peer code. - Build features of AI-native product experiences — agentic workflows, retrieval (RAG) pipelines, tool and function-calling integrations, and human-in-the-loop patterns — with guidance from senior engineers. - Contribute to early quality activities, including peer reviews of estimates, designs, and code — and to the evaluation of AI-powered features through automated tests, offline evals, and golden datasets. - Resolve defects/bugs during QA testing, pre-production, production, and post-release patches, using logs, metrics, and traces to investigate issues. - Monitor your features after launch, using instrumentation and customer signals to confirm they deliver the expected outcomes. - Partner effectively with all team members to deliver against commitments. - Work cross-functionally with various Intuit teams: product management, design, AI scientists, platform teams, and other business units to drive forward results. - Commitment to team success and positive team dynamics. - Passion for growing and applying technical and AI skills in service to customers — in a landscape that evolves month to month. - Experience with Agile Development and SCRUM methodologies. Qualifications - BS/MS in Computer Science or equivalent work experience. - 2+ years of experience developing software applications or services. - Solid grasp of software engineering fundamentals and their practical application. - Strong coding skills in one or more object-oriented languages: Java, Python, or TypeScript. - Hands-on exposure to Generative AI — e.g., building with LLM APIs, prompt and context engineering, RAG/retrieval, or agent frameworks — through work, internships, or substantial personal projects. Production experience is a plus, genuine fluency and curiosity are required. - Proficiency using AI-assisted development tools (coding agents and assistants) as part of your daily workflow, with the judgment to verify what they produce. - An understanding of the Software Development Life Cycle (SDLC) and experience with web services (REST/JSON) and API integrations. - An understanding of unit testing and Test Driven Development (TDD). - Working knowledge of SQL and data fundamentals; exposure to data processing tools (e.g., Spark, Kafka) is a plus. - Familiarity with cloud platforms (AWS or GCP) and modern CI/CD practices is a plus. - "Self-starter" attitude and ability to make decisions independently. - Helpful, can-do attitude and a willingness to take ownership of problems. - Strong desire to learn and grow. - Excellent problem-solving skills with a history of superb delivery against assigned tasks. - Excellent verbal and written communication skills. - Outstanding partnership skills. 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 $140,500 - $190,000

Requirements

Must-haves

Successful delivery of high-quality software for the Mid-Market intelligence platform — requirements, design, code, tests, and documentation — spanning services, data pipelines, and AI-native workflows.
Roughly 80-95% hands-on coding, leveraging AI-driven development tools and agents as a core part of your craft, and validating AI-generated output to the same standard as peer code.
Build features of AI-native product experiences — agentic workflows, retrieval (RAG) pipelines, tool and function-calling integrations, and human-in-the-loop patterns — with guidance from senior engineers.
Contribute to early quality activities, including peer reviews of estimates, designs, and code — and to the evaluation of AI-powered features through automated tests, offline evals, and golden datasets.
Resolve defects/bugs during QA testing, pre-production, production, and post-release patches, using logs, metrics, and traces to investigate issues.
Monitor your features after launch, using instrumentation and customer signals to confirm they deliver the expected outcomes.
Partner effectively with all team members to deliver against commitments.
Work cross-functionally with various Intuit teams: product management, design, AI scientists, platform teams, and other business units to drive forward results.
Commitment to team success and positive team dynamics.
Passion for growing and applying technical and AI skills in service to customers — in a landscape that evolves month to month.
Experience with Agile Development and SCRUM methodologies.
BS/MS in Computer Science or equivalent work experience.
2+ years of experience developing software applications or services.
Solid grasp of software engineering fundamentals and their practical application.
Strong coding skills in one or more object-oriented languages: Java, Python, or TypeScript.
Proficiency using AI-assisted development tools (coding agents and assistants) as part of your daily workflow, with the judgment to verify what they produce.
An understanding of the Software Development Life Cycle (SDLC) and experience with web services (REST/JSON) and API integrations.
An understanding of unit testing and Test Driven Development (TDD).
"Self-starter" attitude and ability to make decisions independently.
Helpful, can-do attitude and a willingness to take ownership of problems.
Strong desire to learn and grow.
Excellent problem-solving skills with a history of superb delivery against assigned tasks.

Nice-to-haves

Working knowledge of SQL and data fundamentals; exposure to data processing tools (e.g., Spark, Kafka) is a plus.
Familiarity with cloud platforms (AWS or GCP) and modern CI/CD practices is a plus.

Application prep

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

Keywords to mirror

aiagilescrumjavapythontypescriptllmrestapisqlawsgcpci/cd

Platform: career-feeds
Effort: medium