Applied AI Engineer
Mets Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at Mets. Citi Field – Queens, New York · full-time · $180,000–$200,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build AI products that give baseball staff easier access to statistics, information and internal workflows
- Create RAG pipelines from data intake to generated answers, balancing baseball relevance, accuracy, response time and cost
- Connect AI assistants safely with internal APIs, data warehouses and services
- Design multi-step agent workflows for research, analysis and reports, with safeguards and human review
- Turn needs from baseball and technical teams into durable software, while improving shared engineering practices and data protections
What you bring
- At least five years building and operating software services used in production
- Production experience developing LLM applications, including tool use, structured responses and reliability techniques
- Practical retrieval experience with search, embeddings, vector databases and indexing methods
- A computer science degree or equivalent experience, plus skills in APIs, SQL, distributed systems and cloud platforms
Who this fits
This hands-on role suits an engineer comfortable working through ambiguous needs with stakeholders and explaining tradeoffs to technical and non-technical colleagues. You must live near New York City or relocate, work closely with colleagues in person, and make regular trips to Citi Field. Travel to Spring Training and affiliate locations may be needed, and support may be expected during key baseball-season periods and software releases.
From the employer
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 & 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 as needed 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 tradeoffs 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
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 individual selected 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.
Salary Range: $180,000 - $200,000
For technical reasons, we strongly advise to not use an .edu email address when applying. Thank you very much.