Applied AI Engineer
Core
Build and ship production-grade AI capabilities (RAG pipelines, agentic workflows, secure tool integrations) to improve decision-making and streamline workflows for Baseball Operations.
Role type
Senior Applied AI Engineer (Production Systems)
Builds
AI-powered applications, RAG pipelines, and agentic workflows for internal baseball analytics and operations.
Domain
Professional Sports (Baseball) + Generative AI + Data Engineering
Deliverable
production ML models | product features
Required skills
LLM application development, RAG pipeline engineering, vector databases, API design, distributed systems, cloud infrastructure, Python/TypeScript
Preferred skills
Sports analytics experience, high-stakes environment experience
Technologies
GCP/AWS/Azure, Python, TypeScript, Vector Databases, MCP patterns
Responsibilities
Design AI-powered product experiences for baseball information access; Develop end-to-end RAG pipelines with focus on quality and latency; Implement secure tool/data connectors for AI agents; Build agentic workflows for multi-step tasks; Partner with stakeholders to frame problems and define success; Contribute to shared engineering standards and reusable components.
Seniority
Senior, hands-on IC
