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TulipTulipSomerville, MA

AI Platform Engineer

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

Skills

TypeScriptLLMsPrompt EngineeringAgent FrameworksRAGAWSGCPCI/CDAPI Designrestful services

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