AI Enablement Engineer- Developer Experience

Tulip Interfaces is a leader in AI-native frontline operations, helping companies enhance their workforce efficiency through innovative applications. The AI Enablement Engineer will collaborate with engineering teams to leverage AI in developer workflows, build internal AI platforms, and contribute to organizational AI enablement initiatives.

Responsibilities:

• Partner with engineering teams to identify the highest-leverage AI opportunities in the developer workflow: from code generation and review to testing, debugging, and internal tooling
• Build and maintain the internal agentic AI platform engineers rely on daily: skills, plugins, MCP servers, and integrations across our tech stack (source control, CI/CD, observability, ticketing, and more)
• Own foundational architecture and standards for how agents and model releases are evaluated, and deployed internally: including reliability, evals, efficiency, and secure tool access patterns
• Build and improve the onboarding, documentation, and discovery layer that helps engineers find and adopt the right AI tools (skills catalogs, guides, internal wikis) rather than reinventing them
• Stay plugged into agentic AI and developer-tooling trends externally to shape internal standards and roadmap decisions
• Meaningfully contribute to organizational AI enablement for engineering, including internal learning programs, office hours, and change management as new tools roll out
• Instrument and measure adoption and impact of internal AI tooling, and use that data to prioritize what to build next