> Markdown version of [/jobs/ext/1716362-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1716362-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Engineer

- **Company:** True Classic
- **Location:** Calabasas, CA, United States
- **Salary:** $75,000.0 - $85,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Code Review, Data Security, DevOps, Github, Python (Programming Language), PostgreSQL, Node.Js, Shopify, Software Engineering, SQL Databases, Klaviyo Email and SMS Marketing, ReactJS, Delivery Pipeline, Large Language Models, Express.js, Prompt Engineering, Heroku, Information Technology, Production Code, Restful APIs
- **Published:** July 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3fc9c743e0a349ef

## About the Role

* Professional experience in AI engineering or software development
 * Bachelor's degree in Computer Science or related field
 * Strong expertise in AI prompting, engineering workflows, and working with LLMs (Claude, OpenAI, or similar)
 * Proficiency in Python, React, Node.js, Express.js - SQL/PostgreSQL a plus
 * Hands-on experience with cloud and DevOps: AWS, Heroku, GitHub CI/CD
 * Strong understanding of RESTful API design and implementation
 * Systems thinker who can architect end-to-end solutions, not just point fixes
 * Creative, tenacious, and hungry - thrives in ambiguity and moves with urgency, * Experience at a DTC, e-commerce, or consumer brand
 * Familiarity with our stack: Meta, Google, TikTok, Klaviyo, Triple Whale, Shopify
 * Experience with prompt engineering best practices for AI-driven workflows
 * Track record deploying scalable AI solutions in production environments

## Description

* Build AI agents, automation pipelines, and LLM-powered features across acquisition, retention, and operations
 * Implement and integrate RESTful APIs for efficient, secure data access and exchange across our tech stack
 * Write clean, maintainable, production-quality code across Python, React, Node.js, and other relevant frameworks
 * Deploy and manage applications on AWS and other cloud platforms using modern CI/CD pipelines
 * Partner with marketing, finance, operations, and commercial teams to solve their hardest problems
 * Perform code reviews, enforce best practices, and drive continuous improvement
 * Evaluate and implement AI tools that fit our stack - and stay at the frontier to bring new capabilities in

Cross-Functional Collaboration

 * Marketing: AI-powered acquisition, creative testing, audience targeting, and lifecycle tools
 * eCommerce & Product: Personalization, search, merchandising, and conversion optimization
 * Operations: Automation of high-friction workflows across supply chain and fulfillment
 * Finance & BI: Connect AI initiatives to revenue, margin, and efficiency KPIs
 * Commercial Channels: Solutions that work across DTC, wholesale, marketplace, and international


## Related Videos

- [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents)
- [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next)
- [Coffee with Developers - Adam Wiggins](https://www.wearedevelopers.com/videos/919-coffee-with-developers-adam-wiggins)
- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [The AI-Ready Stack: Rethinking the Engineering Org of the Future](https://www.wearedevelopers.com/videos/1706-the-ai-ready-stack-rethinking-the-engineering-org-of-the-future)
- [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)