Build and ship internal AI agents and the agentic AI platform at Tulip. Partner with business teams to identify opportunities, translate problems into ROI-driven solutions, and drive AI adoption across the company. Requires 5+ years experience with LLMs, agent frameworks, full-stack development, and production cloud experience.
Salary not listed
Hybrid5+ YOEML Engineering
About the role
Key Responsibilities
Partner seamlessly with business teams to identify the highest-leverage AI opportunities across Tulip and co-design, build, and launch them — translating messy business problems into elegant, ROI-driven agentic solutions
Build and ship AI agents that non-technical teams love using — automating workflows for efficiency and to unlock new team capabilities
Assist in architecting and building the agentic AI platform that powers our company internally — from foundational architecture and standards to secure, scalable integrations across our entire tech stack
Stay plugged into agentic AI trends externally to shape Tulip’s internal AI strategy
Meaningfully contribute to organizational AI enablement, including learning programs, coaching, and change management efforts
Requirements
5+ years of relevant experience (software engineering with hands-on AI/LLM experience, delivering AI solutions inside of a company, or to clients in a consulting environment)
Proven ability to build internal tools that make powerful technology accessible to non-technical users — including the judgment to know when to build vs. buy
A natural relationship builder who earns trust with business leads quickly, gets to the root of operational problems, and co-creates solutions that actually get adopted
Comfort with owning a full stack (e.g., strong proficiency in Typescript or similar, familiarity with API design and integration (RESTful services or similar))
Deep hands-on experience with LLMs, prompt engineering, agent frameworks, and RAG — ideally built and shipped in production
Production experience with AWS or GCP, modern CI/CD practices, and a genuine understanding of AI safety and security
Bachelor's degree in Computer Science, Engineering, or equivalent work experience
Nice-to-Haves
Experience with agentic AI trends and shaping internal AI strategy
Background in organizational AI enablement, learning programs, coaching, and change management
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