AI Engineer

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 / Preferred

• Experience working with Engineering, Operations, Go To Market, Finance, People, IT, and Data teams