AI Platform Engineer

This role is located in Somerville, MA - We are a hybrid work environment and are in the office 3+ days/per week.

Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip’s cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category.

A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, Israel and Japan. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage’s Top Workplaces USA, and one of Built In Boston’s “Best Places to Work” and “Best Midsize Places to Work.”

You're a builder. You’ve been inside the LLM/agentic AI world, turning capabilities into tools that real teams actually depend on. You understand the full stack of making an agent work in production: prompting, tool design, reliability, the UX of human‑AI handoffs, and all the unglamorous parts in between.

You thrive when the problem is fuzzy and the timeline is tight. You find the highest‑leverage thing, move fast, and bring people with you. You're technically sharp and commercially curious — you want to understand why something matters to the business, not just what to build. You prototype on Monday, ship on Wednesday, and iterate on Friday because real use is key.

You want a small team with outsized impact and direct exposure to leadership and all parts of the company. You want your fingerprints on how the whole company operates. You think agentic AI and humans working together is one of the most interesting opportunities of this decade. You're not here to watch it happen — you're here to shape how it happens.

• 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

• 5+ years of relevant experience. For example, work experience can be in 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

• Engineering, Operations, and/or Go To Market teams
• Finance and People teams
• IT and Data leadership

We know even great candidates experience imposter syndrome. Even if you don’t match every requirement, applying gives you the opportunity to be considered.

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