TCGplayer Inc is seeking a Principal Engineer specializing in AI and Machine Learning to define and drive its technical strategy, especially in transforming the trading card game marketplace. The ideal candidate will possess extensive experience in software engineering and the practical application of AI technologies, particularly generative AI
Job Summary
Define TCGplayer's multi-year ML/AI technical strategy, identifying transformative opportunities across both customer experiences and internal engineering productivity, with particular focus on practical applications of generative AI.
Design the foundational AI/ML platform architecture that will scale from our current exploratory implementations to production systems serving millions of users, supporting both traditional ML models and LLM-based applications.
Partner with engineering, product, and data teams to translate business objectives into AI-powered capabilities, starting with intelligent site search and mobile deck-building experiences that may leverage both traditional ML and generative approaches.
Matching Summary
Match Score: 85
TCGplayer Inc is seeking a Principal Engineer specializing in AI and Machine Learning to define and drive its technical strategy, especially in transforming the trading card game marketplace. The ideal candidate will possess extensive experience in software engineering and the practical application of AI technologies, particularly generative AI.
Salary
Base: $186,400 - $286,200; Bonus/Equity: Target bonus and restricted stock units; Benefits: Full range of medical, financial, and/or other benefits
Skills & Requirements
Must-have
ML/AI technical strategy
AI/ML platform architecture
generative AI capabilities
LLM deployment and prompt engineering
AI-powered development tools
Nice-to-have
e-commerce marketplace experience
tabletop gaming or collectibles domains
agent-based architectures
foundation model integration
Key Requirements
10-12+ years software engineering
5+ years architecting and deploying ML/AI systems
AI technical strategy and roadmaps
LLM deployment, fine-tuning, and prompt engineering
Transformer architectures, RAG systems, production LLM deployments
Distributed systems, data pipelines, production infrastructure