Senior Agentic AI Engineer

Build and Scale the AI Layer of the Business

Rebel Athletic is seeking a highly experienced Agentic AI Engineer to lead the design, development, and deployment of enterprise-grade AI agent systems that automate and transform core business processes across sales, design, operations, and manufacturing.

This is a hands-on leadership role. You will architect and build production AI systems while defining the standards, frameworks, and long-term direction for Rebel’s Agentic AI platform.

You will work directly with executive leadership and the Technology team to turn business strategy into scalable, AI-driven execution.

About Rebel Athletic

At Rebel Athletic, we don’t just make apparel — we create confidence, empower performance, and redefine what it means to wear your passion. Since 2012, we’ve been shaking up the industry as the fastest-growing cheer and performance wear brand in the world. Recognized by Global Brand Consultancy Eat Big Fish as a Challenger Brand to Watch, Rebel has become synonymous with bold design, innovation, and custom craftsmanship.

From couture-inspired uniforms to lifestyle athleisure, we merge high fashion with high function — built for those who dare to stand out. Our founder, Karen Aldridge, has transformed a daring idea into a global movement that celebrates creativity, empowerment, and individuality.

At Rebel, we’re not just creating garments — we’re building a community of dreamers, doers, and disruptors who lead with purpose and sparkle louder than ever.

What You Will Do

• Lead the design and implementation of production-grade AI agent systems across the enterprise
• Architect multi-agent systems that handle complex, multi-step workflows including planning, memory, and tool usage
• Translate business processes into autonomous, end-to-end AI workflows
• Build and deploy solutions using Python and modern AI frameworks
• Establish and standardize tools such as LangChain, CrewAI, AutoGen, n8n, or similar
• Integrate AI into platforms like NetSuite, Salesforce, and internal applications
• Build scalable AI infrastructure including orchestration layers, APIs, and event-driven systems
• Define and implement evaluation frameworks, guardrails, and monitoring for AI systems
• Rapidly prototype, test, and scale solutions into production environments
• Mentor engineers and contribute to building Rebel’s internal AI engineering capability

Required Qualifications

• 7+ years of software engineering experience with strong Python expertise
• 2–3+ years of hands-on experience working with LLMs, generative AI, or autonomous agent systems
• Proven experience building and deploying AI agents or LLM-powered systems in production environments
• Strong experience with APIs, system architecture, and production system design
• Deep understanding of LLM behavior, prompt engineering, and RAG architectures
• Experience designing multi-step, agent-based workflows including planning, memory, and orchestration
• Experience integrating AI systems with enterprise platforms such as ERP, CRM, or internal tools
• Ability to translate complex business problems into practical, scalable AI solutions
• Demonstrated builder mindset with shipped products, production systems, or a strong GitHub portfolio

Preferred Qualifications

• Experience with LangChain, CrewAI, AutoGen, LlamaIndex, or similar frameworks
• Experience with vector databases such as Pinecone, Weaviate, FAISS, or Chroma
• Experience with cloud infrastructure (AWS preferred) and deploying scalable AI systems
• Knowledge of AI evaluation frameworks, hallucination mitigation, and guardrail design
• Experience with event-driven architectures and workflow orchestration systems
• Familiarity with data pipelines, real-time processing, and enterprise data integration
• Experience building human-in-the-loop systems for critical workflows

Core Competencies

• Ownership - drives initiatives from concept through production and scale
• Systems Thinking - designs solutions that integrate across complex business environments
• Execution - moves quickly while maintaining quality and reliability
• Problem Solving - simplifies complex challenges into scalable solutions
• Leadership - mentors engineers and elevates team capability
• Communication - translates technical concepts into business impact

Success Measures

• Delivery of production AI agents that drive measurable impact such as time savings, cost reduction, or revenue growth
• Ability to take business problems and deliver scalable, production-ready AI solutions
• Establishment of a repeatable Agentic AI framework across the organization
• Contribution to high-impact initiatives that drive significant business value
• Growth and mentorship of Rebel’s internal AI engineering capability

Why Rebel Athletic

• Lead the build-out of a next-generation AI-driven enterprise platform
• Work on real production systems across sales, operations, and manufacturing
• Direct exposure to executive leadership and company-wide transformation initiatives
• Opportunity to define and scale Agentic AI as a core competitive advantage
• High-impact role with visibility across the entire organization

Equal Opportunity Statement

Rebel Athletic LLC is an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, military status, or any other protected characteristic. We also strictly prohibit retaliation against individuals who raise concerns or participate in investigations.