Senior Agentic Ai Engineer

Rebel Athletic

$120K — $150K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of software engineering experience with strong Python expertise
  • 2-3+ years of experience with LLMs, generative AI, or autonomous agent systems
  • Experience building and deploying AI agents or LLM-powered systems in production
  • Strong knowledge of APIs, system architecture, and production design
  • Deep understanding of LLM behavior, prompt engineering, and RAG architectures
  • Proven ability to design multi-step workflows with planning and orchestration
  • Proficiency in integrating AI systems with enterprise platforms like ERP and CRM

Responsibilities

  • Lead the design and implementation of production-grade AI agent systems across the enterprise
  • Architect multi-agent systems that manage complex workflows such as planning and tool usage
  • Translate business processes into autonomous AI workflows
  • Build and deploy solutions using Python and modern AI frameworks
  • Establish and standardize tools for AI development
  • Integrate AI solutions with platforms like NetSuite and Salesforce
  • Build scalable AI infrastructure including orchestration layers and APIs
  • Rapidly prototype, test, and scale AI solutions into production environments
  • Mentor engineers and build the internal AI engineering capability

Benefits

  • Opportunity to lead the build-out of an AI-driven enterprise platform
  • Work on impactful production systems in key business areas
  • Direct exposure to executive leadership and transformation initiatives
  • Define and scale AI as a competitive advantage
  • High-visibility role with significant organizational impact
Full Job Description
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.

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


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