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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: https://app.testgorilla.com/s/f7fr69to

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)
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Average salary estimate

$95000 / YEARLY (est.)
min
max
$70000K
$120000K

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Full-time, hybrid
DATE POSTED
May 3, 2025

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