Software Development Engineer - Document Intelligence

Workday • Pleasanton, CA

6d • Hybrid

About The Position

This is an exciting opening in the AI Platform team within the Document Intelligence group. The Document Intelligence team builds AI/ML-powered solutions to extract actionable insights from unstructured documents. They design scalable document processing pipelines that can ingest and interpret large volumes of data with minimal manual intervention. Their work includes advanced document parsing using NLP, computer vision, and large language models (LLMs), along with in-house model training for entity resolution. They integrate seamlessly with business workflows for areas like financials, spend management, and more. By continuously evolving their models to handle new document types and edge cases, they help automate and accelerate critical business processes across the organization. The AI Platform organization is bringing “AI first” products to life at every step of the Workday product offering. They are looking for highly creative, results-focused, and deeply skilled Machine Learning Engineers/scientists to work with them on a range of these challenges.

Requirements

• 5+ years experience in software development engineering including designing, developing, and deploying software solutions.
• 2+ years of experience in Python, with a consistent track record of shipping production code and systems.
• 2+ of experience building scalable data pipelines and working with large-scale datasets.
• 2+ years of validated experience deploying production services to cloud platforms (e.g., AWS, Azure, GCP) and using containerization technologies (e.g., Docker, Kubernetes) for MLOps.
• Bachelor’s degree in a relevant field such as Computer Science, Engineering, or a related discipline, or equivalent practical experience.
• Solid ability in Algorithmic Thinking to design and implement efficient solutions for agentic system development.
• Expertise in the engineering, deployment, and MLOps of advanced machine learning solutions (e.g., generative models, LLMs, RAG, and AI agents), coupled with a strong understanding of scalable distributed systems, performance optimization, database technologies (e.g., PostgreSQL, Redis), and robust API development.
• Validated algorithmic thinking and a track proven history designing, implementing, and analyzing efficient algorithms for complex problems.
• Demonstrated ability to build flexible, reusable, and well-documented software components, with comprehensive experience in code testing strategies (unit, integration, end-to-end) in a continuous deployment environment.
• Strong sense of ownership and a proven ability to deliver high-quality, finished products efficiently.
• Excellent communication and collaboration skills, emphasizing team collaboration, knowledge-sharing, and delivering customer impact.

Responsibilities

• Develop and maintain sophisticated AI platform capabilities, focusing on patterns like tool calling, multi-agent architectures, and human-in-the-loop integrations.
• Write clean, performant code that ensures these systems are resilient in production.
• Develop and deploy secure, RESTful web services using Python and Kubernetes.
• Contribute to the development of multi-tenant runtime architectures that enable fast inference and scale to millions of users.
• Participate in design reviews and code quality initiatives.
• Apply software development best practices to ensure our codebase remains maintainable, testable, and efficient.
• Work with cross-functional teams to turn product requirements into functional technical designs.
• Utilize industry-standard practices, including automation, observability, and CI/CD, to deliver high-quality ML solutions.
• Stay current with evolving AI/ML technologies and contribute to the team’s collective knowledge.

Benefits

• Workday Bonus Plan or a role-specific commission/bonus
• Annual refresh stock grants
• Comprehensive benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior