Principal Full-Stack Engineer, Experience Team
$199,100–$348,400 year
Remote · Minneapolis, Minnesota, United States or US
Job Summary
Principal Full-Stack Engineer on the Experience Team responsible for architecting and building automation pipelines that shift content production to AI-native delivery. Design and develop LLM-powered tooling to enable agentic content creation workflows (including prompt libraries, evaluation frameworks, and orchestration systems). Build and maintain integrations across ServiceNow’s content platforms, knowledge management systems, and AI services to create a unified knowledge engine. Develop MCP server configurations and agentic workflow tooling to extend AI capabilities into writer and engineer workflows. Partner with Digital Technology teams to connect content systems to the broader platform ecosystem (search, taxonomy, digital experience surfaces). Define engineering standards and architectural patterns that scale AI tooling, and operate as a technical thought leader shaping strategy and platform decisions. Preferred qualifications emphasize experience integrating AI into work processes, - 10+ years in software engineering with backend/platform infrastructure, production-grade automation pipelines, proficiency in Python/JS, API integrations, autonomy, and strong stakeholder communication.
Required Qualifications
- Hands-on experience with LLM APIs (Anthropic, OpenAI, or similar)
- Experience with content automation, structured content systems (e.g. DITA), or knowledge graph infrastructure
- Experience designing and building production-grade automation pipelines
- Proficiency in Python and/or JavaScript/Node.js
- Experience integrating with APIs and enterprise data systems
- Ability to operate with high autonomy — defining scope and delivering end-to-end
- Strong communication skills with stakeholders
- Background in SaaS or enterprise technology environments
- Experience working with open source tooling ecosystems and developer workflow infrastructure
- Demonstrated experience building AI-powered tooling and agentic workflows
- Familiarity with MCP server architecture or AI agent orchestration frameworks
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