Applied AI Engineer

New York Mets; New York (NY); On-site; USD 180,000 - 200,000; Full time

Job summary

The New York Mets are looking for an Applied AI Engineer to enhance decision-making and streamline workflows through AI capabilities. The role involves developing AI-powered applications that improve internal systems, focusing on reliability and security.

Ideal candidates will have a Bachelor's degree, 5+ years in software engineering, proficiency in Python or TypeScript, and a strong interest in baseball. A competitive salary range of $180,000 to $200,000 is offered.

Qualifications

• 5+ years of professional software engineering experience.
• Experience building and operating production services.
• Strong knowledge in backend and data integration fundamentals.

Responsibilities

• Design, build and maintain AI-powered product experiences.
• Develop end-to-end RAG pipelines with attention to quality.
• Implement secure tool and data connectors.

Skills

Software engineering experience

Building LLM-powered applications

Retrieval systems

APIs and SQL

Collaboration and communication skills

Education

Bachelor’s degree in Computer Science or equivalent

Tools

Python

TypeScript

Cloud infrastructure (GCP/AWS/Azure)

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.

Essential Duties & Responsibilities

• 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 (ingest, chunking, embedding, retrieval, generation) with strong attention to answer quality, baseball relevancy, analytics accuracy, latency, and cost.
• Implement secure tool and data connectors for AI assistants and agents using standardized patterns (MCP‑style), enabling safe interaction with internal APIs, data warehouses, and services.
• Build agentic workflows that can execute multi‑step tasks (research, analysis, synthesis, report generation) with clear guardrails, auditability, and human‑in‑the‑loop approvals.
• Partner closely with Product, Analytics, Performance Technology, Player Development, and Baseball operations stakeholders to frame problems, define success, and deliver measurable impact.
• Contribute to shared engineering standards and reusable components so AI capabilities scale across multiple products and teams.
• Ensure strong security and privacy practices (access control, data boundaries, logging and auditing, and safe handling of sensitive information).
• Participate in high‑availability support expectations during critical operational periods throughout the baseball season and during feature releases.

Qualifications

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5+ years of professional software engineering experience, including building and operating production services.
• Demonstrated experience building LLM‑powered applications in production (prompt/program design, structured outputs, tool calling, reliability patterns).
• Practical experience with retrieval systems (search, embeddings, vector databases, ranking, chunking/indexing) and applying them to real workflows.
• Strong experience with modern backend and data integration fundamentals: APIs, SQL, distributed systems, and cloud infrastructure (GCP/AWS/Azure).
• Proficiency in one or more production languages commonly used for AI applications and services (e.g. Python and/or TypeScript).
• Approach work as highly collaborative and stakeholder‑driven, with the ability to operate in ambiguity while iterating quickly.
• Strong written and verbal communication skills with the ability to explain trade‑offs to technical and non‑technical audiences.
• Experience working in sports, health, finance, or other high‑stakes analytics‑heavy environments (preferred).
• Strong interest in baseball and comfort working within the culture of a professional sports organization (preferred).

Benefits

Salary Range: $180,000 - $200,000

Equity and Diversity Statement

The above information is intended to describe the general nature, type, and level of work to be performed. The information is not intended to be an exhaustive or complete list of all responsibilities, duties, and skills required for this position. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. The selected individual may perform other related duties as assigned or requested. The New York Mets value the unique qualities individuals with various backgrounds and experiences can offer the organization. Our continued success depends heavily on the quality of our workforce. The Organization is committed to providing employees with the opportunity to develop to their fullest potential.