> Markdown version of [/jobs/ext/3818042-software-engineer-2-mid-market-intelligence](https://www.wearedevelopers.com/jobs/ext/3818042-software-engineer-2-mid-market-intelligence). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer 2, Mid Market Intelligence - **Company:** Intuit Inc. - **Location:** Mountain View, CA, United States - **Experience:** Experienced - **Salary:** $140,500.0 - $190,000.0 - **Contract:** Internship / Graduate position - **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Unit Testing, Cloud Computing, Continuous Integration, JSON, Python (Programming Language), Object-Oriented Software Development, Scrum Methodology, Standard Sql, Software Engineering, TypeScript, Web Services, Data Processing, Test-Driven Development (TDD), Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Apache Spark, Generative AI, AI Coding Agents, Information Technology, Apache Kafka, Software Coding, Api Management - **Published:** October 18, 2026 - **Apply:** https://intuit.avature.net/externalCareers/JobApplication?pipelineId=24631 ## About the Role 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. ## Description 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.