AI-Driven Application Engineer

The Home Depot

Atlanta (GA)

On-site

USD 120,000 - 160,000

Full time

5 days ago
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Job summary

The Home Depot is seeking an Application Engineer to develop net-new solutions and refactor prototypes into secure, reliable tools that boost profitability, efficiency, and customer experience. You will harden AI-assisted prototypes and design new applications to advance analytics capabilities.

You will collaborate with data engineers, analysts, data scientists, and business partners to productionalize prototypes and manage AI agent integration points while balancing workload and priorities in a

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
  • 4+ years of experience in application engineering, software development, or data engineering.
  • Proficiency in a modern programming language (Python preferred).
  • Experience building APIs and integrating with MCPs for AI agent interactions.
  • Experience building or integrating data pipelines feeding downstream apps.
  • Familiarity with cloud environments, CI/CD deployment, and deployment standards.

Responsibilities

  • Develop, test, deploy, and maintain data pipelines and products; follow data architectural standards and ETL/ELT best practices in cloud analytics.
  • Collaborate with analysts, data scientists, and business partners; participate in Agile delivery and design reviews.
  • Learn from experimentation and pursue continuous development and growth.

Skills

Python
APIs
MCP integration
CI/CD
Security
Unit tests
Data pipelines

Education

Bachelor's or Master's in CS/Engineering

Tools

BigQuery
SQL

Job description

The Home Depot is seeking an Application Engineer to develop net-new solutions and refactor prototypes into secure, reliable tools that boost profitability, efficiency, and customer experience. You will harden AI-assisted prototypes and design new applications to advance analytics capabilities.

You will collaborate with data engineers, analysts, data scientists, and business partners to productionalize prototypes and manage AI agent integration points while balancing workload and priorities in a

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