Senior Software Engineer - AI Engineering (Remote)

The Home Depot

United States

Remote

USD 80,000 - 180,000

Full time

10 days ago

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Job summary

The Home Depot is seeking a Sr. Software Engineer – AI Engineering to build generative AI agent experiences for customers and to support the React frontend used to reach those agents.

You will work on an AI-first development system on Google Cloud, improving tooling and ensuring secure, scalable production outcomes, while collaborating with product, UX, and principal engineers. You’ll join a remote team of engineers, owning plan, testing, and production outcomes, and helping grow junior staff

Qualifications

Bachelor’s degree or equivalent in a related field.
Experience writing production-grade Python services.
Experience building LLM agents with LangChain/ADK and tool calling.
Experience designing/testing prompts and measuring prompt impact.
Experience with large distributed multi-agent systems in production on Google Cloud.

Responsibilities

Develop, test, deploy, and maintain AI-first software with measurable business value.
Lead challenging projects with urgency and high energy, delivering results.
Collaborate in agile processes, write clear user stories, and ensure testability.

Skills

Python development

LLM agent concepts

Learning from experiments

Cross-functional collaboration

Education

Bachelor's degree in related field

Tools

Python

LangChain

Google ADK (ADK)

Vertex AI

Job 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 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: