Applied AI Engineer

Join Tulip, a leading company in the AI space, as an Applied AI Engineer. In this role, you will partner with business teams to identify and launch high-impact AI opportunities, build user-friendly AI agents, and contribute to the company's internal AI strategy. You will have a direct impact on product and culture, enjoy flexible work arrangements, and receive a comprehensive benefits package.

• 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.
• Participer à l'architecture et à la construction de la plateforme d'IA agentique qui alimente l'entreprise en interne.
• 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 want a small team with outsized impact and direct exposure to leadership and all parts of the company. Y
• You prototype on Monday, ship on Wednesday, and iterate on Friday because real use is key
• You're technically sharp and commercially curious — you want to understand why something matters to the business, not just what to build
• 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
• Bachelor's degree in Computer Science, Engineering, or equivalent work experience
• Production experience with AWS or GCP, modern CI/CD practices, and a genuine understanding of AI safety and security
• 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
• 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
• 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
• 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