AI Automation Engineer

🔥 15 hours ago

🇺🇸 United States – Remote

💵 $140k - $160k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 QA Automation Engineer

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StockX

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

🛍️ eCommerce

🏪 Marketplace

🛒 Retail

💰 $195M Secondary Market on 2021-04

eCommerce • Marketplace • Retail

StockX is an online marketplace that connects buyers and sellers of high-demand consumer products including sneakers, apparel, electronics, and accessories. It is a platform for buying and selling these items where users can place bids or sell them at asking prices. The platform ensures authenticity of the products and includes a wide collection of brands such as Nike, Adidas, and Jordan. StockX's marketplace is designed to operate similarly to a stock market, providing users with real-time market data to make informed purchasing decisions.

📋 Description

• Design & deploy AI powered automation solutions using LLMs, machine learning models, and decision engines. • Build agent-based systems, prompt pipelines, and retrieval augmented generation workflows. • Develop autonomous or semi-autonomous systems that can take actions across internal tools and APIs. • Create scalable workflow automation using APIs, event driven architecture, and orchestration frameworks. • Integrate AI systems with internal platforms. • Develop reusable automation components and internal tooling. • Write clean, maintainable, production ready code. • Build observability, logging, guardrails, and monitoring into AI systems. • Ensure reliability, security, and responsible AI implementation. • Measure performance impact. • Continuously refine prompts, workflows, and models. • Identify new automation opportunities across the organization. • Implement guardrails, access controls, and safety mechanisms. • Ensure compliance with data privacy and security policies. • Partner with security teams on safe AI deployment.

🎯 Requirements

• 4+ years of software engineering experience • 2+ years working AI/ML systems, LLMs, or intelligent automation. • Experience with LLM APIs (OpenAI, Anthropic, etc.) • Experience in vector databases and RAG systems • Experience workflow orchestration tools • Strong programming skills • Experience building API integrations and distributed systems. • Experience deploying systems in AWS, GCP, or Azure environments. • Strong problem solving and system thinking skills

🏖️ Benefits

• medical • dental • equity • discretionary bonuses