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.