AI Platform Engineer

Join Tulip, a company focused on revolutionizing the way businesses operate through AI technology. As an AI Platform Engineer, you will partner with business teams to identify and implement high-impact AI solutions, build user-friendly AI agents, and contribute to the overall AI strategy of the company. You will have the opportunity to make a direct impact on the product and culture, enjoy a flexible work environment, and benefit from competitive healthcare and family-friendly policies.

• Collaborer avec les équipes commerciales pour identifier les opportunités d'IA et co-concevoir des solutions.
• Construire et expédier des agents d'IA que les équipes non techniques aiment utiliser, en automatisant les flux de travail.
• Contribuer à l'architecture et à la construction de la plateforme d'IA agentique qui alimente l'entreprise en interne.
• 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
• 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
• IT and Data leadership
• Key Collaborators
• 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
• 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
• Deep hands-on experience with LLMs, prompt engineering, agent frameworks, and RAG — ideally built and shipped in production
• Finance and People teams
• 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
• Engineering, Operations, and/or Go To Market teams
• Comfort with owning a full stack (e.g., strong proficiency in Typescript or similar, familiarity with API design and integration (RESTful services or similar)
• 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
• Even if you don’t match every requirement, applying gives you the opportunity to be considered