Software Development Engineer - Document Intelligence

Overview In this role you will contribute to the Document Intelligence team within Workday’s AI Platform, turning ML concepts into production-ready solutions. You’ll help build scalable AI pipelines and agentic capabilities that automate and accelerate business processes. You will work with cross-functional teams to ship robust software that handles large data while ensuring security and scalability. This is an opportunity to shape cutting-edge AI products used by millions of users and enterprise customers. Compensation / Benefitsbase salary range providedbonus plan or commission possibilitystock grantsflexible/hybrid work modelremote work optionsequal opportunity employer ResponsibilitiesDevelop and maintain AI platform capabilities focused on tool calling, multi-agent architectures, and human-in-the-loop integrationsBuild and deploy secure RESTful services using Python and Kubernetes; contribute to multi-tenant runtimes for fast inference at scaleParticipate in design reviews, uphold code quality, and implement maintainable, testable softwareTranslate product requirements into technical designs with cross-functional teamsApply MLOps standards including automation, observability, and CI/CD to ML solutionsContinuously learn and contribute to the team’s collective AI/ML knowledge Key requirements5+ years of software development experience2+ years Python experience with production code2+ years building scalable data pipelines and working with large datasets2+ years deploying production services to cloud platforms (AWS, Azure, GCP) and using Docker/Kubernetes for MLOpsBachelor’s degree in a relevant field or equivalent practical experienceStrong algorithmic thinking and experience with scalable distributed systemsExcellent communication and collaboration skillsOwnership mindset and track record of delivering high-quality productsAbility to work in cross-functional teams and share knowledgePythonKubernetesRESTful web services