Software Development Engineer AI Tools

Your work days are brighter here.

Were obsessed with making hard work pay off for our people our customers and the world around us. As a Fortune 500 company and a leading AI platform for managing people money and agents were shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join youll feel it. Not just in the products we build but in how we show up for each other. Our culture is rooted in integrity empathy and shared enthusiasm. Were in this together tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether youre building smarter solutions supporting customers or creating a space where everyone belongs youll do meaningful work with Workmates whove got your return well give you the trust to take risks the tools to grow the skills to develop and the support of a company invested in you for the long haul. So if you want to inspire a brighter work day for everyone including yourself youve found a match in Workday and we hope to be a match for you too.

About the Team

About the Role

The Workday AI Tools team is looking for a software engineer whos excited to build the infrastructure behind enterprise AI. Youll work across our MCP server ecosystem LLM gateway and developer-facing tooling - writing real production code that Workday engineers use every day. This is a high-impact high-ownership role on a small team that moves quickly so youll have room to grow fast.

Youll also work directly with the engineers using these tools - answering questions in Slack supporting onboarding and feeding their feedback back into the platform.

In this role you will:

- Build and maintain MCP servers AI integrations and developer tools that improve the daily workflow for Workdays 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 teams codebase

- Stay current on the AI tooling landscape and contribute ideas for what the team should build or adopt next

About You

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 how to build AI integrations that respect policy and compliance boundaries

- Genuine excitement about the cutting edge of AI - you stay current on new tools models and frameworks and youre eager to bring what youre learning into your day-to-day work

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 - youre happy to answer questions support adoption and treat user feedback as input not interruption

- Strong written communication skills; able to document your work clearly for other developers

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidates compensation offer will be based on multiple factors including but not limited to geography experience skills job duties and business need among other things. For more information regarding Workdays comprehensive benefits please click here.

Our Approach to Flexible Work

With Flex Work were combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections maintain a strong community and do their best work. We know that flexibility can take shape in many ways so rather than a number of required days in-office each week we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers prospects and partners (depending on role). This means youll have the freedom to create a flexible schedule that caters to your business team and personal needs while being intentional to make the most of time spent together. Those in our remote home office roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law Workday will consider for employment qualified applicants with arrest and conviction records.

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 .

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