
10,000+ employees
Founded 1978
🏗️ Construction
📦 Logistics
🛒 Retail
💰 Debt Financing on 2007-07
Construction • Logistics • Retail
The Home Depot is a leading home improvement retailer, offering a wide range of building materials, home improvement products, lawn and garden products, and related services. The company operates both physical stores and an online platform, providing comprehensive solutions for DIY enthusiasts, professional contractors, and homeowners. The Home Depot is committed to diversity, equity, and inclusion, providing employment opportunities and benefits to a diverse workforce. Additionally, the company places a high emphasis on customer service and associate engagement to maintain its position as a trusted leader in the home improvement industry.
🔥 43 minutes ago
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10,000+ employees
Founded 1978
🏗️ Construction
📦 Logistics
🛒 Retail
💰 Debt Financing on 2007-07
Construction • Logistics • Retail
The Home Depot is a leading home improvement retailer, offering a wide range of building materials, home improvement products, lawn and garden products, and related services. The company operates both physical stores and an online platform, providing comprehensive solutions for DIY enthusiasts, professional contractors, and homeowners. The Home Depot is committed to diversity, equity, and inclusion, providing employment opportunities and benefits to a diverse workforce. Additionally, the company places a high emphasis on customer service and associate engagement to maintain its position as a trusted leader in the home improvement industry.
• Design, build, and deploy scalable multi-agent systems and orchestration layers for autonomous business planning, content generation, and execution • Drive prioritized enterprise AI use cases from prototypes into stable, high-throughput production solutions • Integrate model governance, observability, data protection, and ethical AI validation into the model lifecycle • Connect autonomous AI agents and subagents with enterprise databases and MarTech platforms to eliminate manual process friction • Architect Retrieval-Augmented Generation pipelines, semantic caching, and vector database structures • Develop automated functional, regression, and destructive stress testing for non-deterministic AI outputs and multi-agent systems • Partner with internal TechOps to build self-healing automation loops for incident detection and automated triage • Collaborate in agile processes and with Product Teams to make user stories valuable, developer-ready, understandable, and testable • Mentor junior engineers and lead technical discussions • Provide guidance on modern software development frameworks and participate in architectural design reviews
• Must be eighteen years of age or older • Must be legally permitted to work in the United States • 3–6 years of professional software engineering experience, emphasizing distributed systems, AI/ML application architecture, or intelligent workflow automation • Proficiency in Python, Java, or Go • Hands-on experience building multi-agent systems or using agent orchestration frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel • Deep understanding of LLMs, prompt engineering, vector databases, and embedding techniques • Experience with AI observability and evaluation systems, including model drift, latency, costs, hallucination rates, and agent-to-agent performance • Experience with MLOps pipelines and cloud-native AI infrastructure in AWS, GCP, or Azure • Familiarity with enterprise data streaming, API management, and integration layers connecting AI agents to CDPs, CRMs, and content management systems • Understanding of enterprise software design patterns, microservices architecture, and Git • Exposure to security frameworks, ethical AI guidelines, data governance, privacy protection, and regulatory model compliance • Proven track record of translating complex, ambiguous business requirements into technical architectures • Experience mentoring junior engineers and leading architectural design reviews across cross-functional technology teams • Bachelor's degree or equivalent degree in a job-related field
• No travel required
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