AI Engineer / Workflow Automations
Job Title: AI Engineer / Workflow Automations Schedule: M-F, 9AM - 6PM Pacific Time Salary: based on experience We’re looking for a rare hybrid: part systems architect, part data engineer, part scrappy builder. This is not a theoretical machine learning role—this is hands-on work solving messy, real-world business problems through fast, effective automation. You’ll collaborate closely with operations and growth teams, turning whiteboard sessions into high-impact automations that drive measurable business outcomes. To expedite the process, please complete this assessment when submitting your application: Responsibilities: • Own end-to-end automation projects from discovery and scoping to deployment and iteration. • Embed LLMs (OpenAI, Claude, etc.) into real business operations—beyond just demos or prototypes. • Automate complex workflows using a mix of no-code tools (Zapier, Make/Integromat), code (Python), Google Cloud services, and third-party SaaS APIs. • Work directly with cross-functional stakeholders (Ops, CX, Finance, Growth) to understand their challenges and build scalable, practical solutions. • Maintain and improve automation infrastructure across Google Cloud and integrated SaaS platforms. Requirements: • Proven experience automating business processes using both no-code platforms and custom-coded solutions. • Strong working knowledge of LLM APIs and how to integrate them into operational flows (prompt engineering, chaining, etc.). • Proficiency in Python, Google Cloud (especially Cloud Functions, Pub/Sub, Firestore), and common e-commerce APIs (Shopify, Klaviyo, etc.). • Strong communicator: able to whiteboard with teams, translate business logic into system logic, and own execution. • A bias for action—you move quickly, iterate often, and know when to ship v1. • Experience in e-commerce or direct-to-consumer (DTC) businesses. • Familiarity with data pipelines and event-driven architecture. • A portfolio of automations, bots, or internal tools you've built. Tools to use • No-Code Tools (Zapier, Make) • Custom Coding (Python) • Cloud Services (Google Cloud: Cloud Functions, Pub/Sub, Firestore) • SaaS APIs (Shopify, Klaviyo) • Large Language Models (LLMs) (OpenAI, Claude) Apply tot his job