AI Automation Engineer

StockX; United States; On-site; USD 140,000 - 160,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Equity

Discretionary bonuses

Job summary

StockX is seeking an AI Automation Engineer to design, build, and scale intelligent automation systems across the business. You will drive production-grade AI-driven solutions, partnering with Engineering, Operations, Product, Data, and Security to transform manual processes into scalable systems.

You will deliver AI-powered automation, integrate with internal platforms, and ensure secure, reliable, compliant deployments while measuring performance and continuously refining prompts and workflows.

Qualifications

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

Responsibilities

• Design & deploy AI-powered automation solutions using LLMs, ML models, and decision engines.
• Build agent-based systems, prompt pipelines, and retrieval augmented generation workflows.
• Develop autonomous or semi-autonomous systems that act across internal tools and APIs.
• Create scalable workflow automation using APIs, event-driven architecture, and orchestration frameworks.
• Integrate AI systems with internal platforms and develop reusable automation components.

Skills

Software engineering

AI/ML systems

LLM APIs

Vector databases

RAG systems

Workflow orchestration

Programming

APIs & integration

Distributed systems

Cloud deployment

Job description

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

Pursuant to the various pay transparency laws/acts, the pay range is $140,000 to $160,000 annually, plus opportunities for benefits (e.g., medical, dental), equity and discretionary bonuses. Compensation is dependent on geography and may vary.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. However, this job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position. StockX reserves the right to amend this job description at any time. StockX may utilize AI to rank job applicant submissions against the position requirements to assist in determining candidate alignment.