AI Process Engineer

Huckberry•Austin, TX

1d•Hybrid

About The Position

We’re looking for an AI Process Engineer to work cross-functionally with operations, logistics, finance, customer service, and merchandising teams to identify and build automations that streamline back-of-house business processes. You’ll pair a software engineering foundation with practical AI/LLM tooling to eliminate manual work, reduce errors, and improve the speed of day-to-day operations. You’ll work with the existing software engineering team, providing code review, architectural guidance, and mentorship. This is a technical, hands-on role. You’ll spend your time gathering requirements, mapping systems, writing code, building API integrations, deploying workflow automations, and experimenting with AI tooling — not managing people or writing strategy decks. The ideal candidate is someone who gets energy from seeing a clunky manual process and turning it into something that runs reliably on its own. In this position, you will report to our Engineering Manager. This role is based out of our headquarters in Austin, TX; relocation support will be provided to a remote hire.

Requirements

Comfortable with modern software development tools and practices: git, version control, reading documentation, testing your own work, and able to write code in at least one general-purpose programming language. We don’t care which one, though Python, TypeScript, Ruby, or Rust are all great fits for this work
Hands-on use of modern AI/LLM tools (ChatGPT, Claude, Copilot, or similar) to solve real problems. Academic, personal, or professional projects all count. We care that you’ve actually shipped something with them
Self-directed: able to take a vague problem, ask the right questions, scope it down, and drive it to a working solution without daily hand-holding. This is the single most important trait for the role
Strong written and verbal communication. Comfortable interviewing non-technical teammates across operations, logistics, finance, CS, and merchandising to understand their workflows and translate what they say into a scoped, practical solution
Builder mentality, and gets energy from shipping something that works over designing in the abstract. Willing to pick the simplest tool that solves the problem and iterate from there

Nice To Haves

E-commerce, retail, or operations exposure is a plus but not required

Responsibilities

Partner with our VP of Technology, operations, logistics, finance, CS, and merchandising teams to identify high-impact automation opportunities
Design and build workflow automations using APIs and orchestration tools (Airflow, Prefect, n8n, or similar)
Develop and deploy practical AI/LLM-powered tools for tasks like document processing, classification, content generation, and data extraction
Enhance integrations between internal systems with generative AI tooling
Write clean, maintainable code with appropriate testing and monitoring
Measure and report on the impact of automations (time saved, error reduction, cost savings)
Stay current on AI tooling and evaluate new tools for practical business applications