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Open nowPosted today

Senior Software Engineer - AI Engineering (Remote)

Home Depot1,244 open roles

Where
GEORGIA - VIRTUAL - GA01
Work mode
Remote
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Your applicationOpen nowSenior Software Engineer - AI Engineering (Remote)Home Depot · GEORGIA - VIRTUAL - GA01
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The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. Home Depot postings stay open a median of 14 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted today

Home Depot median: 14 days open

The posting

With a career at The Home Depot, you can be yourself and also be part of something bigger.

Position Purpose:

The Sr. Software Engineer – AI Engineering builds and ships generative AI agent experiences for Home Depot customers. The role also covers the React front ends customers use to reach those agents. Most of the team's work is agentic production work on Google Cloud, and all of it is done AI-first: engineers use agentic coding tools like Claude Code to deliver software end to end and own the plan, testing and production outcome. You will help improve the AI-first development system the team already uses: you'll spot gaps, research better approaches and bring what you learn back to the team. You'll join a remote team of skilled, proficient engineers and partner closely with product, UX and principal engineers. Together you build, deploy and support production applications and share ownership of security, resilience, performance and production monitoring.

Key Responsibilities:

  • 50% Delivery and Execution - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide; Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm; Consistently achieves results, even under tough circumstances; Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production; Takes a broad view when approaching issues; using a global lens
  • 20% Learns and Grows - Learns through successful and failed experiment when tackling new problems; Actively seeks ways to grow and be challenged using both formal and informal development channels
  • 20% Plans and Aligns - Collaborates with other team members in agile processes; Creates new and better ways for the organization to be successful; Works the Product Team to ensure user stories are valuable, developer ready, easy to understand and testable; Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; Adapts approach and demeanor in real time to match the shifting demands of different situations; Relates openly and comfortably with diverse groups of people
  • 10% Supports and Enables - Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions

Direct Manager/Direct Reports:

  • This position typically reports to Software Engineer Manager or Sr. Manager
  • This position has 0 Direct Reports

Travel Requirements:

  • No travel required.

Physical Requirements:

  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:

  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:

  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:

  • 2-4 years of relevant work experience
  • Experience writing production Python services.
  • Experience building LLM agents with Google Agent Development Kit (ADK) or LangChain, including tool calling.
  • Experience designing, testing and versioning prompts, and measuring whether a prompt change made the output better or worse.
  • Experience with large distributed systems, especially multi-agent systems and how they're orchestrated.
  • Experience running AI systems in production on Google Cloud, including Vertex AI Agent Engine or a similar agent runtime. That includes tracking latency, cost, output quality and safety, and securing services with authentication and authorization.

Minimum Education:

  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:

  • No additional education

Minimum Years of Work Experience:

  • 3

Preferred Years of Work Experience:

  • No additional years of experience

Minimum Leadership Experience:

  • None

Preferred Leadership Experience:

  • None

Certifications:

  • None

Competencies:

  • Global Perspective
  • Manages Ambiguity
  • Nimble Learning
  • Self-Development
  • Collaborates
  • Cultivates Innovation
  • Situational Adaptability
  • Communicates Effectively
  • Drives Results
  • Interpersonal Savvy

For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents:

The pay range for this position is between $80,000.00 - $180,000.00

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