Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Fanatics is seeking an AI Engineer to help shape and execute the company's AI strategy. This role involves identifying automation opportunities, designing and shipping agentic workflows, and setting standards for AI deployment. You will own problems end-to-end, from definition and design to building, proving, and scaling solutions.

Responsibilities

• Partner with business stakeholders to identify, prioritize, and deliver on AI automation opportunities.
• Design, build, and deploy custom agents and agentic workflows using frontier models and the modern agent stack.
• Contribute directly to Fanatics' AI strategy, including tool investment, workflow prioritization, and impact measurement.
• Take ideas from concept to production, including problem scoping, solution design, prototype building, evaluation, and adoption driving.
• Help shape AI governance and best practices, including tool evaluation, security coordination, and adoption metrics tracking.
• Ask critical questions regarding automation feasibility, success criteria, and ROI measurement.
• Bring creative ideas and judgment alongside execution skills.

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.
• Familiarity with the modern AI stack: LLM APIs, MCP, agent frameworks, prompt engineering, RAG, and evaluation methods.
• Comfort working in code (Python preferred) and a willingness to learn new tools.
• Strong analytical and problem-solving skills.
• Ability to operate independently in ambiguous environments.
• Excellent written and verbal communication skills.
• Strategic mindset paired with a "get it done" attitude.

Skills

• AI agents
• Automation
• Frontier models (Claude, GPT, Gemini)
• Modern agent stack (MCP servers, agent SDKs, orchestration tools, computer use / browser automation, evals)
• LLM APIs
• Agent frameworks (Claude Agent SDK, OpenAI Agents SDK, LangGraph, CrewAI, or similar)
• Prompt engineering
• RAG
• Evaluation methods
• Python

Location

• NYC office

Work Type

• Full-time
• In-person collaboration

Experience Level

• Mid-level

Education Level

• Bachelor's degree preferred

Salary/Compensations

• $90,000—$95,000 USD

Benefits

• Competitive salary
• Comprehensive medical, dental, and vision coverage
• 401(k) plan with company match
• Generous paid time off
• Paid holidays
• Parental leave
• Wellness benefits
• Learning & development stipend
• Employee discount on Fanatics products
• Fanatics swag

About the Company

• Fanatics is building a leading global digital sports platform focused on commerce, collectibles, and betting & gaming.
• The company aims to ignite fan passions and maximize reach for sports partners globally.
• Fanatics has an established database of over 100 million global sports fans and a partner network of approximately 900 sports properties.
• The company employs over 22,000 individuals committed to enhancing the fan experience.

Equal Opportunity

• By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.