Senior Agentic Ai Engineer

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