Help empower our global customers to connect to culture through their passions.
Why you'll love this role
We are seeking an AI Automation Engineer to design, build, and scale intelligent automation systems that improve operational efficiency, reduce manual effort, and unlock new capabilities across the business.
This role sits at the intersection of engineering, applied AI,workflow automation, and systems integration. You will be responsible for identifying high-impact automation opportunities and delivering production grade AI-driven solutions that integrate seamlessly into our technology ecosystem.
You will partner cross-functionally with Engineering, Operations, Product, Data, and Security, as well as business stakeholders to transform manual and repetitive processes into intelligent, scalable systems.
What you’ll do
- 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.
About you
- 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
StockX is proud to be a Detroit-based technology leader focused on the large and growing online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more. StockX's powerful platform connects buyers and sellers of high-demand consumer goods from around the world using dynamic pricing mechanics. This approach affords access and market visibility powered by real-time data that empowers buyers and sellers to determine and transact based on market value. The StockX platform features hundreds of brands across verticals including Jordan Brand, adidas, Nike, Supreme, BAPE, Off-White, Louis Vuitton, Gucci; collectibles from brands including LEGO, KAWS, Bearbrick, and Pop Mart; and electronics from industry-leading manufacturers Sony, Microsoft, Meta, and Apple. Launched in 2016, StockX employs 1,000 people across offices and verification centers around the world. Learn more at www.stockx.com.
Skills Required
- 4+ years of software engineering experience
- 2+ years working with AI/ML systems, LLMs, or intelligent automation
- Experience building API integrations and distributed systems
- Strong programming skills
- Hands on experience with LLM APIs (OpenAI, Anthropic, etc.)
- Experience deploying systems in AWS, GCP, or Azure environments
- Experience with vector databases and RAG systems
- Experience with workflow orchestration tools
What We Do
Our global platform offers unprecedented access to current culture while our data-driven, bid-ask model provides buyers with the real-time visibility to know they’re getting a fair price. StockX’s special formula has rocketed the company to a multibillion-dollar valuation, with 10M+ lifetime trades on the platform—more than half of those coming in the last year. And we’re just getting started.
