Staff AI Engineer
Pattern®
Job Overview
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Job Description
About Pattern
Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list.
Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 46 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email [email protected]
Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®.
The Role: Staff AI Engineer
Develop AI workflows and agentic patterns to help solve complex problems at scale that normally require human intervention. Work closely with both the core AI engineering team and top level leadership.
Key Responsibilities
- Lead the design and implementation of sophisticated AI workflows and agentic systems that automate complex business processes
- Architect scalable AI solutions that integrate with Pattern's existing technology stack and business operations
- Mentor junior AI engineers and provide technical leadership across AI initiatives
- Collaborate with product and business teams to identify high-impact opportunities for AI implementation
- Develop proof-of-concepts and prototypes to validate AI approaches before full implementation
- Establish best practices, coding standards, and architectural patterns for AI development
- Contribute to the company's AI strategy and roadmap in partnership with leadership
Requirements
- 8+ years of experience in software engineering with at least 3 years focused on AI/ML systems
- Strong Python programming skills with experience in modern AI frameworks and libraries
- Deep understanding of LLMs, RAG systems, fine-tuning, and agentic AI architectures
- Experience building production AI systems that solve real business problems at scale
- Proficiency with cloud infrastructure (AWS preferred) and containerization technologies
- Strong system design skills with experience building distributed and fault-tolerant applications
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders
- Track record of leading technical initiatives and mentoring other engineers
Experience Level
8-15 years of experience in software engineering with demonstrated expertise in AI systems development and deployment in the most recent years.
Hiring Process Note
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Key Skills/Competency
- AI Workflows
- Agentic Systems
- Machine Learning
- Deep Learning
- LLMs (Large Language Models)
- RAG Systems
- Python Programming
- AWS Cloud
- System Design
- Technical Leadership
How to Get Hired at Pattern®
- Research Pattern's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight extensive experience in AI/ML systems, Python, cloud infrastructure (AWS), and distributed applications.
- Showcase problem-solving: Prepare examples of how you've designed and deployed production AI systems that solved complex business challenges at scale.
- Understand e-commerce AI: Demonstrate knowledge of how AI optimizes advertising, content, logistics, pricing, and forecasting for marketplaces.
- Emphasize leadership: Share experiences mentoring junior AI engineers and leading significant technical initiatives within AI development.
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