Software Development Engineer - AI Tools

About the Team We build AI-powered tools that improve the developer experience, including a code generation platform, AI-assisted code review, and enterprise-wide developer tooling. We own the MCP registry and gateway and develop responsible AI guardrails. About the Role The Workday AI Tools team seeks a software engineer to build infrastructure behind enterprise AI, working with MCP server ecosystem, LLM gateway, and developer-facing tooling. This high-impact, high-ownership role on a small team involves writing production code and supporting engineers who use these tools. Responsibilities Build and maintain MCP servers, AI integrations, and developer tools that improve the daily workflow for Workday's engineering org. Write scripts and automation that streamline AI tool onboarding, configuration, and fleet management. Instrument services with logging and monitoring to keep our platform observable and reliable. Work with Security and compliance partners to implement policy requirements in our tooling. Participate in code review and help maintain a high standard for the team's codebase. Stay current on the AI tooling landscape and contribute ideas for what the team should build or adopt next. Basic Qualifications 3+ years of software engineering experience. Production experience building backend services or developer tooling in Python and/or TypeScript. Familiarity with LLM APIs and basic prompt engineering concepts. Working understanding of AI security and responsible AI principles, including awareness of prompt injection, data handling risks, and policy/compliance boundaries. Genuine excitement about the cutting edge of AI and current tools, models, frameworks. Other Qualifications Understanding of AI agent architectures, including the ReAct pattern and how agents reason, plan, and use tools iteratively; hands‑on experience building or experimenting with agents is a plus. Experience building MCP servers, skills, or tool‑use integrations; comfort reading and contributing to the MCP ecosystem. Experience building or consuming REST APIs. Working knowledge of Docker and container‑based deployments; experience with Kubernetes is a plus, and exposure to workflow orchestration or infrastructure‑as‑code tooling is welcome. Familiarity with DevOps practices and CI/CD systems. Understanding of authentication and authorization fundamentals (OAuth, SSO, API keys). Comfort working in a cloud environment (AWS, GCP, or Azure). Experience adding observability to services – logging, metrics, alerting. Comfort partnering directly with the engineers who use your tools; happy to answer questions, support adoption. Strong written communication skills; able to document your work clearly for other developers. Pay Transparency Statement Primary Location: USA.CA.Pleasanton – Base Pay Range: $148,000 – $222,000 USD. Additional US Locations – Base Pay Range: $123,900 – $222,000 USD. Equal Opportunity Employer Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email View email address on click.appcast.io. #J-18808-Ljbffr Workday