Forward Deployed AI Engineer (Operations)

Join Zipline, a leading logistics company, as a Forward Deployed AI Engineer. In this role, you will be at the forefront of integrating GenAI into our complex logistics system. You will work closely with various teams, build end-to-end AI tools, and solve real-world problems. The ideal candidate should have experience in building GenAI solutions, a strong understanding of the AI landscape, and proficiency in programming languages such as Python, TypeScript/JavaScript, Java, or C++.

• Collaborer avec les équipes de Zipline pour définir et mettre en œuvre la stratégie GenAI et les solutions pour les flux de travail opérationnels.
• Construire des outils d'IA de bout en bout, les amener en production et résoudre des problèmes réels dans divers domaines.
• Travailler en étroite collaboration avec les opérateurs, les ingénieurs, les équipes produit et les dirigeants d'entreprise pour comprendre les besoins des utilisateurs et définir l'approche technique appropriée.
• You should be a strong coder, with proficiency in Python, TypeScript/JavaScript, Java, C++, or similar languages
• We require past experience building GenAI solutions, a strong understanding of the AI landscape, and a solid foundation in machine learning basics such as evaluation, training concepts, and problem decomposition
• Ability and interest in traveling to Zipline sites as needed is helpful up to 50% depending on the organization you’ll be deployed into
• We value past experience building things that work. We do not need specific degrees; we need results. Make sure your resume highlights what you have built, shipped, automated, scaled, or made real. It matters less where, when, or for whom you built it; what matters is that it was useful, ambitious, technically strong, and cool
• You should be comfortable collaborating with technical and non-technical teammates, working in dynamic environments, and iterating directly with users
• You should have experience building with LLMs, data processing pipelines, and analytics tools, and you should be comfortable decomposing messy business problems into reliable technical workflows
• We value an engineering mindset focused on delivering production AI systems, not academic benchmarks