Intuit은 전 세계 1억 명 이상의 고객에게 TurboTax, Credit Karma, QuickBooks, Mailchimp 등의 금융 기술 플랫폼을 제공하며 번영을 지원하는 기업입니다. AI 네이티브로의 전환을 목표로 혁신가, 위험 감수자, 상상력 풍부한 사고를 장려하는 문화를 구축하고 있습니다. 본 채용은 AI 및 신기술을 활용하여 고객 문제를 효율적으로 해결할 엔지니어를 찾고 있으며, 확장 가능하고 안전하며 유지보수가 용이한 애플리케이션 및 시스템 아키텍처 설계 및 개발, AI 기술을 활용한 소프트웨어 애플리케이션 개선 기회 발굴, 주니어 엔지니어 멘토링 등의 역할을 수행하게 됩니다. 컴퓨터 과학 또는 관련 분야 학사/석사 학위 또는 동등한 경험, 7년 이상의 엔터프라이즈급 애플리케이션 개발 경험, JavaScript, Java 등 프로그래밍 언어 및 데이터베이스 설계/구현 경험, 마이크로서비스, 컨테이너 기술, 클라우드 환경 배포 경험, LLM 프롬프팅, AutoML 등 AI 모델 개발 및 통합 경험이 요구됩니다.
주요 업무
Drive significant technology initiatives end-to-end and across multiple layers of architecture. Architect and develop scalable applications or systems. Drive the design and implementation of durable and software solutions to solve critical customer problems that are scalable, secure, easy to maintain, and interact with numerous other systems. Provide recommendations and best practices for application development, platform development, and developer tools. Actively stay abreast of industry best practices, share learnings, and experiment and apply cutting edge technologies. Provide/inspire innovations that fuel the growth of Intuit as a whole and generate creative ideas for emerging business needs. Partner and work with global teams across time zones. Communicates clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives). Proactively identify opportunities to enhance software applications with AI technology. Coach and mentor junior engineers on best practices of software engineering, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes. Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics.
자격 요건
BS/MS in Computer Science or related area or equivalent experience. 7+ years of total experience delivering enterprise-class applications. Solid foundation in writing scalable application code following best practices of accessibility, internationalization, and instrumentation. Experience with cross-browser, cross-platform, and design constraints on the web and mobile. Solid knowledge of algorithms and design patterns. Proficiency with JavaScript application design and testing experience. Proficiency in mid-tier languages like Java. Experience with test automation: TDD, unit/integration/functional testing. Experience with Relational Database Design and Implementation. Interest in building CI/CD pipelines. Practical experience in developing applications using microservices, container technologies, container management systems such as Kubernetes, Mesos, etc. Strong experience with Databases design (SQL, NoSQL) and analytics. Prior working experience in utility computing and/or cloud computing domain. Experience building and deploying applications and services into cloud environments. Proficient in building or integrating functional AI models using techniques such as LLM prompting, AutoML modeling, etc. Skilled in evaluating and monitoring the performance of AI technology in production and making necessary adjustments to ensure optimal application performance. Possesses an in-depth understanding of AI integration and can lead the integration process effectively, while coaching junior engineers on how to leverage AI. Ability to work collaboratively with cross-functional teams, including data scientists, product managers, and software engineers.
