Stateside Spec Engineering jobs in the United States

The Home Depot

Senior Software Engineer - AI Engineering (Remote)

Virtual, GA · Remote (US) · Senior

Discipline
Software
Industry
Other

Spec sheet

Automatically summarized from the employer’s posting. Check the original description below for full requirements.

Senior Software Engineer – AI Engineering at The Home Depot; develops generative AI agent experiences and React front ends for customer-facing agents, mainly on Google Cloud. The role emphasizes AI-first development, production reliability, and cross-functional collaboration.

$80,000–$180,000 / year · Day shift · 0% travel · 3+ years · Bachelor's degree or equivalent

Required

  • production Python services
  • LLM agents with Google ADK or LangChain
  • tool calling
  • prompts design/testing/versioning
  • multi-agent distributed systems
  • production AI on Google Cloud
  • Vertex AI Agent Engine or equivalent
  • authentication and authorization security

Preferred

  • experience with Google Cloud Vertex AI
  • monitoring and performance metrics for AI systems
  • experience with LangChain
  • designed prompts for AI agents
  • distributed systems orchestration

Benefits

  • medical
  • 401k
  • PTO

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Employer description

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 lens20% 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 channels20% 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 people10% 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. ManagerThis 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 experienceExperience 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 PerspectiveManages AmbiguityNimble LearningSelf-DevelopmentCollaboratesCultivates InnovationSituational AdaptabilityCommunicates EffectivelyDrives ResultsInterpersonal 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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