Applied AI Engineer

Job Description: Summary The New York Mets are seeking an Applied AI Engineer to build and ship production-grade AI capabilities that improve decision-making and streamline workflows across Baseball Operations. This role sits at the intersection of Baseball Systems (software engineering), Data Engineering, Baseball Analytics, Performance Technology, and modern generative AI. You will develop reliable AI-powered applications such as retrieval-augmented generation (RAG), secure tool/data integrations (MCP-style patterns), and agentic workflows that can support deep work and research, while ensuring strong standards for quality, security, privacy, and operational excellence.

This is a hands-on role for an engineer who can translate ambiguous baseball operations and player development needs into working software, iterate quickly with stakeholders, and harden solutions into durable systems used daily by analysts, coaches, scouts, and baseball operations staff. Note : This role will require extensive in-person collaboration and innovation alongside stakeholders, analysts, and engineers. Applicants must be local to NYC (or willing to relocate) and be able to travel to Citi Field regularly.

Travel to Spring Training and affiliates may also be required. Essential Duties &

Design, build and maintain AI-powered product experiences that provide intuitive access to baseball information and statistics and workflows across internal systems. Develop end-to-end RAG pipelines