AI Tools Platform Engineer (Enterprise Backend)

Workday; Atlanta (GA); On-site; USD 130,000 - 196,000; Full time

Job summary

Workday’s AI Tools team seeks a software engineer to build infrastructure behind enterprise AI. You will work across the MCP server ecosystem, LLM gateway, and developer-facing tooling, writing real production code used daily by Workday engineers. This is a high-impact, high-ownership role on a fast-moving small team.

You’ll collaborate with engineers using these tools—answering questions, supporting onboarding, and incorporating user feedback into the platform.

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.

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.

Skills

Software engineering

Python

TypeScript

LLM APIs

Prompt engineering

AI security

DevOps

Cloud

Tools

Docker

Kubernetes

REST APIs

CI/CD

Job description

Workday’s AI Tools team seeks a software engineer to build infrastructure behind enterprise AI. You will work across the MCP server ecosystem, LLM gateway, and developer-facing tooling, writing real production code used daily by Workday engineers. This is a high-impact, high-ownership role on a fast-moving small team.

You’ll collaborate with engineers using these tools—answering questions, supporting onboarding, and incorporating user feedback into the platform.