AI Engineer

Fanatics Inc.•New York, NY

34d•$90,000 - $95,000•Onsite

About The Position

Fanatics is seeking a full-time AI Engineer to contribute to its AI strategy. The role involves identifying high-impact automation opportunities, designing and implementing agentic workflows, and setting standards for AI deployment. This is an end-to-end ownership role, requiring individuals to define, design, build, test, and scale AI solutions in collaboration with business leaders. The ideal candidate is technically proficient, strategic, and entrepreneurial.

Requirements

Bachelor's degree in Computer Science, AI/ML, Software Engineering, or a closely related field preferred.
Hands-on experience building with frontier LLMs, including designing and shipping custom agents or agentic workflows that solve real business problems.
Familiarity with the modern AI stack: LLM APIs, MCP, agent frameworks (Claude Agent SDK, OpenAI Agents SDK, LangGraph, CrewAI, or similar), prompt engineering, RAG, and evaluation methods.
Comfort working in code (Python preferred) and a willingness to learn whatever the right tool for the job turns out to be.
Strong analytical and problem-solving skills, with the ability to operate independently in ambiguous environments.
Excellent written and verbal communication. Explaining your AI work clearly is just as important as building it.
Strategic mindset paired with a "get it done" attitude.

Nice To Haves

Fan of sports, collectibles, or fandom culture.

Responsibilities

Partner with business stakeholders across Fanatics to identify, prioritize, and deliver on AI automation opportunities that meaningfully move the business.
Design, build, and deploy custom agents and agentic workflows using frontier models (Claude, GPT, Gemini) and the modern agent stack (MCP servers, agent SDKs, orchestration tools, computer use / browser automation, evals).
Contribute directly to Fanatics' AI strategy: which tools to invest in, which workflows to prioritize, and how to measure impact across functions.
Take ideas from concept to production: scope the problem, design the solution, build the prototype, run evals, and drive adoption.
Help shape AI governance and best practices, including tool evaluation, security and InfoSec coordination, and tracking adoption metrics across the enterprise.
Ask the hard questions: Is this the right problem to automate? What does "good" look like? How do we measure ROI?
Bring your own ideas. This role rewards creativity and judgment as much as execution.