Senior Software Engineer – Marketing Technology

🕒 August 6

🇺🇸 United States – Remote

💵 $80k - $180k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

The Home Depot

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Design, build, and deploy scalable multi-agent systems and orchestration layers for autonomous business planning, content generation, and execution. • Drive technical execution of enterprise AI use cases, industrializing prototypes into stable, high-throughput production solutions. • Integrate model governance, observability tracking, data protection, and ethical AI validation into the model lifecycle. • Connect autonomous AI agents and subagents with enterprise databases and MarTech platform layers to eliminate manual process friction. • Architect Retrieval-Augmented Generation (RAG) pipelines, semantic caching, and vector database structures. • Develop automated functional, regression, and destructive stress testing for non-deterministic AI outputs and multi-agent loops. • Partner occasionally with internal TechOps to build self-healing automation loops for incident detection and automated triage. • Collaborate in agile processes and work with the Product Team to make user stories valuable, developer-ready, understandable, and testable. • Mentor junior engineers on modern software development frameworks and lead technical discussions. • Report typically to a Software Engineer Manager or Senior Manager; no direct reports.

🎯 Requirements

• 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, with a heavy emphasis on distributed systems, AI/ML application architecture, or intelligent workflow automation. • Strong proficiency in scripting and object-oriented programming languages, preferably Python, Java, or Go. • Direct hands-on experience building multi-agent systems or working with agent orchestration frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel. • Deep technical understanding of Large Language Models (LLMs), prompt engineering paradigms, vector databases, and embedding techniques. • Experience establishing AI Observability & Evaluation systems to track model drift, latency, costs, hallucination rates, and agent-to-agent performance. • Experience with MLOps pipelines and cloud-native AI infrastructures, including AWS, GCP, or Azure AI ecosystems. • Familiarity with enterprise data streaming, API management, and integration layers, including CDPs, CRMs, and Content Management Systems. • Strong understanding of enterprise software design patterns, microservices architecture, and source code version control (Git). • Exposure to security frameworks, ethical AI guidelines, and regulatory model compliance. • Proven tracking record of breaking down complex, ambiguous business requirements into lean, high-impact technical architectures. • Experience mentoring junior engineering talent and leading architectural design reviews across cross-functional technology teams. • Bachelor's degree program or equivalent degree in a field of study related to the job. • No certifications required.