Applied AI Engineer

Fanatics

Confirmed live today High trust

Quick summary

Work type: On-site
Location: New York, NY
Salary: $150,000–$200,000 / yr
Posted: 8 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $196k

This role $175k

$130k $254k

below market most similar roles pay here above market

This role pays less than 56% of similar roles. Most pay $150,000–$241,750 — the blue band above. At the midpoint, this role pays about $175k versus about $196k for comparable roles.

Based on 240 similar postings.

Employer

About Fanatics

Fanatics is a global leader in licensed sports merchandise, operating e-commerce sites, physical retail, and on-demand manufacturing for professional sports leagues and teams worldwide.

Fanatics currently has 9 open roles on FindRole.

Listed pay typically runs $144,000–$235,000 across 9 roles with salary data.

Most-posted roles

View all roles at Fanatics

At a glance

TL;DR · Applied AI Engineer

Role Posting Log in to save

The Applied AI Engineer joins a small, senior team to transform the company into a leaner, more automated organization. Working like a tiger team, you will embed within various corporate functions to identify bottlenecks and replace manual work with production-grade AI agents and workflows. You will own problems end-to-end, moving high-impact use cases from concept to working solutions in weeks. Key responsibilities include designing agentic workflows, performing tool evaluations, and coordinating on security and governance. You must be fluent in the modern AI stack, including LLM APIs for Claude, GPT, and Gemini, MCP servers, agent SDKs like LangGraph, prompt engineering, RAG, and evaluation methods. Proficiency in Python is preferred for building these systems to solve real business problems and drive measurable ROI.

Skills

Python LLM APIs RAG LangGraph Claude GPT Gemini MCP Prompt Engineering Agentic Workflows Agent SDKs Evals AI/ML InfoSec

What you'll do

Embed within corporate functions to identify and fix workflows where AI can remove manual effort.
Design, build, and deploy production-grade agents and agentic workflows using frontier models and modern agent stacks.
Move high-impact use cases from concept to working solutions in weeks with measurable results.
Determine the best technical approach by choosing between building custom agents or configuring existing tools.
Partner with business leaders to define automation goals, measure ROI, and drive AI-first operational changes.
Coordinate with security and InfoSec teams to establish AI governance, best practices, and tool evaluations.
Document successful AI implementations and coach colleagues to build a company culture that automates by default.

What we're looking for

3+ years of experience in applied AI or software engineering, including time at a startup or fast-growing company.
Proven track record of building and deploying custom agents or agentic workflows with frontier LLMs to solve real business problems.
Fluency with LLM APIs, MCP, agent frameworks (Claude Agent SDK, OpenAI Agents SDK, LangGraph, etc.), prompt engineering, RAG, and evaluation methods.
Strong coding skills, with Python preferred.
Ability to operate independently in ambiguity with a high bar for speed, ownership, and follow-through.
Excellent written and verbal communication skills to drive change with senior business leaders.
Bachelor's degree in Computer Science, AI/ML, Software Engineering, or a related field (preferred).
Interest in sports, collectibles, or fandom culture (preferred).

Save