Design, build, and scale AI-powered automation using LLMs, RAG, vector DBs, prompt pipelines, and agent systems. Integrate with internal tools and cloud platforms, implement orchestration, observability, security guardrails, measure impact, and partner cross-functionally to replace manual processes with reliable production-grade automation.
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.
About StockX
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.
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.
Similar Jobs
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Design and deliver LLM-powered, agentic AI systems to automate customer support and compliance. Build scalable, secure backend infrastructure in Python and Go, integrate third-party models/APIs, implement grounding and guardrails, and measure performance. Lead end-to-end projects, mentor engineers, conduct code reviews, and participate in on-call and incident response to improve resolution times and reduce operational costs.
Top Skills:
Agentic Ai FrameworksDockerGoLlmMongoDBPostgresPrompt EngineeringPythonRetrieval-Augmented Generation (Rag)
Machine Learning • Payments • Security • Software • Financial Services
Architect and implement enterprise GenAI platforms (RAG and agentic systems), design knowledge retrieval, orchestration, tool-using agents and human-in-the-loop workflows, ensure production readiness and governance with product/data/security teams, define platform engineering best practices, and solve complex platform challenges with broad autonomy.
Top Skills:
Agentic SystemsApi DesignGenaiGenerative AiHuman-In-The-Loop WorkflowsKnowledge RetrievalObservabilityOrchestrationPlatform EngineeringRetrieval Augmented Generation (Rag)Tool-Using Agents
Fintech • Software
Design, build, and deploy AI agents and multi-step automation workflows for Client Experience. Integrate systems via APIs, partner with stakeholders, ensure governance and security, and track metrics for efficiency and customer outcome improvements.
Top Skills:
Ai AgentsAi PlatformsAPIsAutomation ToolsLlmsWorkflow Automation
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
